We are looking for a “full-stack” data scientist with experience in machine learning and algorithm development to join our team. This role reports to the Director of Data Science and will work closely with Marketing, Product Management and others to support growth initiatives.  An ideal candidate will take full ownership of researching and developing machine learning models and deploying them in production while bringing stakeholders on board with evidence-based reasoning and compelling storytelling.

# Responsibilities

* Research, design, and implement data models and cutting-edge algorithms on high-dimensional, fast-moving, unstructured and structured data.
* Work closely with Product Management, Marketing, Customer Success and other stakeholders to understand customer behavior, product usage patterns and trends and to make data-driven decisions and forecasts.
* Lead large-scale eCommerce projects across design and measurement (A/B test), multi-arm bandits, causal inference, forecasting and prediction.
* Lead customer segmentation and related modeling: propensity models, lookalike models, uplift models.
* Quantitatively evaluate user journey to identify experience gaps to drive user growth in the onsite commerce and monetization space.
* Build models to understand experiment results and customer behavior.
* Collaborate with the data engineering team to create data pipelines.
* Constantly learn and have a clear pulse on innovation across the digital marketing, data science, customer data, and analytics communities.

# Qualifications

* Master’s or Ph.D. in statistics, physics, math or another quantitative field.
* Minimum 5 years of industry experience applying advanced analytics/machine to solve practical problems. Minimum 2 years experience if possess a Ph.D.
* Excellent statistical knowledge.
* Ability to initiate and drive projects to completion with minimal guidance
* Fluency in SQL and Python.
* A team player who can collaborate with engineers, product managers, marketing and other cross-functional teams.
* Excellent verbal and written communication skills, with high attention to detail.
* Experience with causal inference techniques, experimental design and/or A/B testing preferred.
* Experience in one or more of the following: signal processing, multimodal sensing, sensor fusion, time series, time-frequency analysis, and dynamical systems preferred.

A/B testing

Python

Data Scientist

Location: Remote, UK based, as travel to our London hub may be required from time to time.
Team: Data & Analytics

As Ably enters its next stage of growth, we’re looking for talented and curious engineers to help us build and deliver the platform to power synchronized digital experiences in realtime for one billion devices every month by 2023.

Our everyday digital experiences are in the midst of a realtime revolution. Whether attending an event in a virtual venue, receiving realtime financial information, or monitoring live car performance data – consumers simply expect realtime digital experiences as standard. As such, synchronized data in realtime is now business critical for many organisations. Yet, at the same time, organizations don’t have the in-house capabilities nor the time to do this efficiently at scale. That’s where Ably comes in.

We provide a suite of APIs to build, extend, and deliver powerful digital experiences in realtime for more than 250 million devices across 80 countries each month. Organizations like Toyota, Bloomberg, HubSpot, and Hopin depend on Ably’s platform to offload the growing complexity of business-critical realtime data synchronization at global scale.

Working at Ably means helping to build the infrastructure and technology that will power and shape the future of the internet. The opportunity in front of us is immense. But we can’t rest yet. And we’d like your help.

To see what life’s like at Ably, check out our careers page at ably.com/careers and read the story of how Ably's core values came to be.

# What we do

Ably’s engineering team is deeply technical, collectively bringing a wealth of experience and broad technology skills across infrastructure, security, distributed systems, and much more. The calibre of the code we produce is what excites and motivates us each day. If you enjoy solving hard distributed system problems that are mostly platform agnostic and theoretical in nature, then you'll love working at Ably.

# In this role

Ably is an engineering company at its heart. Our audience ranges from software engineers to CIOs and it’s our job to make sure the world knows about Ably.

You will be responsible for supporting the building of the foundations of Ably’s internal BI and Analytics systems, working closely with our website, realtime, product, operations, marketing and support teams to unlock our data and empower your colleagues to make informed decisions every day. This is a new capability we’re developing at Ably, so you’ll have an opportunity to work on the platform from the earliest moment, and build experience at every stage of the project’s lifecycle.

# Day to day, you will:

* Work closely with the sales, marketing, product, finance and customer success teams to develop and provide access to the tools and data they need to answer key questions and drive their actions to achieve their objectives.
* Work closely with the data engineers to create suitable views and models of the data our users will be working with, and to define metrics and quality checks to ensure consistency and data quality.
* Provide training to self-service users to ensure correct adoption of our tools and data sources
* Support teams in the design of metrics and measurement frameworks
* Help establish our governance controls, data quality tests, and the tracking of data lineage to ensure we produce high quality, consistent, and understandable data tools.
* Generate actionable insights through the analysis of our data sources - you may be supporting the analysis of marketing channel performance, developing pricing models, financial forecasting, or segmenting customer types by the product behaviours we see.
* Work alongside all teams in the company to enhance the quality of the data we collect
* Have a standup with your team to help everyone stay synchronized

# Requirements

It would be great if you have:

* Delivering BI solutions: You will have been involved in the deployment of effective, scalable, self-service BI solutions. From identifying the user needs, to building tools (such as dashboards, alerts, reports or materialised views) through to navigating the areas of support and training that come ensuring they provide ongoing value.
* Analysis & Insight: We will be serving teams across the business so you will have experience of defining processes and metrics relevant to various teams (Sales, Marketing, Product, and Finance). You will have a track record of providing valuable insights and analysis that supports decision making and drives action, and you will be a good communicator able to convey information and present recommendations effectively to a variety of teams and levels of seniority.
* Data Modelling & Manipulation: While SQL is a ‘must have’, you will also have competency with common languages and tools of the modern data stack: python, notebooks, version control, warehouses, and transformation tools. You will be comfortable developing models to live within the warehouse, or accessing and manipulating data for ad-hoc analysis or exploratory work.
* Data Governance: You will understand the challenges with ensuring data quality through the pipeline and managing discrepancies across sources. You will have had a hand in developing controls and data quality tests, exposure to tools and processes involved in their implementation.

# It would be nice if you have:

* Significant exposure to end-to-end project ownership: you can run discovery processes with stakeholders, scope, plan and deliver solutions that meet their requirements, while being able to deal with various blockers and negotiations along the way.
* Experience with advanced analysis methods: while we will aim to keep things simple, you won’t be afraid to make use of more sophisticated techniques as required especially across: time series analysis, classification, marketing attribution modelling etc.
* An interest in/experience with creative, but effective, data visualisations beyond the standard bar, line, and scatter-plot charts.
* Some understanding/exposure to streaming data tools and processes would be beneficial.
* Our teams are active open source contributors and are encouraged to do this as part of their role at Ably. We like new team members who enjoy contributing back to the open source community, even if those contributions are small.
* Good grasp of Agile, Kanban and SCRUM.

# What’s it like to work at Ably?

Ably is entering a new phase of growth led by an experienced senior team. You’ll be part of a successful, highly motivated, and extremely collaborative team.

To provide the infrastructure required for the next generation of the internet, to tell the world about it, and to support everyone inside Ably to do so we hire people who are ready and capable of taking on challenging problems in a high-growth environment.

We want to work in a company of inclusive people who treat each other well. To really thrive at Ably, you’ll need to believe in and be prepared to do your work in line with our values, which are:

* Open for all. Open is a mindset. When open, we’re better collaborators, communicators and creators. Whether open source, standards, or protocols, open hearts, minds, and eyes. It’s better when it’s open.
* Bias for action. We avoid analysis paralysis at all costs. We lean into doing in order to move us forward. When we have enough of what we need to act, we act. 
* Even the best do better. We want to be the best - but that doesn’t mean we rest when we are. Improvement and growth  - true betterment - is an ongoing journey. One fuelled by curiosity and taking risks. 
* Technology needs humanity. Our technology means little without people - whether that’s how we treat our colleagues, or how we design developer experiences. Being human matters.
* Dependable people make dependable things. Dependability is integral to our mission and technology, but being dependable starts with our people. When we care enough to take real ownership of our products and problems - all else will follow. 
* Bold creativity leads to the greatest rewards.  When viewed through a different lens, what stands in the way can become the way. The bigger the challenge the easier the choice: bold creativity will always move us forward, create better outcomes, and set us apart.

# What’s in it for you?

* A great company culture
* Share options
* The chance to learn and grow with a fast-moving company, supported by a learning budget that gives you access to professional training, events, conferences, workshops etc.
* Remote first: Unless you want to pop into our communal office space in Shoreditch, London, you’ll work from home most of the time, apart from when we have planning sessions and Summits. Travel to the office is at the employee's expense, apart from when we have Ably Summits
* Your choice of high quality tech kit to work on
* Home workstation set up budget of £500, plus an annual top-up of £150
* Regular company away days and social events
* Friday need-to-know drinks and snacks
* Private health insurance, including Doctor@Hand
* Access to private and confidential coaching with Sanctus
* 24/7 Employee Assistance Programme with AXA
* A monthly wellbeing budget with Juno
* 27 days of paid annual leave, plus an extra day for your birthday (36 days including bank holidays)
* 10 days of paid sick leave (including mental health days) per year
* Dog friendly office for when you’re in the office!

Agile

Senior Analyst

Komoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!

Today, with over 25 million users and 200,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.

Join our fully remote team and change the way people explore!

# About the role

Komoot is a tech company where data plays a decisive role. As our new senior data analyst, your work will be invaluable in driving key product decisions. Being part of a cross-functional team, you will work closely with product managers, developers and designers to improve the user experience of millions of outdoor enthusiasts. You’ll surface user behaviour, analyse trends, take part in shaping the product roadmap, identify the most valuable improvements and measure their impact in A/B tests.

# What you will do

* Turn data into actionable insights about our users to drive product decisions
* Spot strategic opportunities in the data and help shape squad roadmaps
* Design metrics to measure the success of key features
* Create visualisations to highlight trends and user behaviour
* Build dashboards and continuous reports to monitor product KPI’s
* Design events to track new product features
* Design and analyse A/B tests
* Organize and prioritize tasks of our data analytics roadmap

# Why you will love it

* You’ll work with a truly inspiring product that brings real life value to our users and empowers them to explore more of the great outdoors.
* You’ll have a self-determined job with personal responsibility to move things forward, shape the processes and choose the tools you need to do your best work.
* You’ll join an international and fully remote team spread across Europe with a common mission - to inspire great adventures, making them accessible to all.
* We are a tech company with little organisational overhead, focusing on ownership and responsibility instead of micro-management and hierarchies.
* You get 38 days annual leaves (including public holidays, which vary by country)
* This is a remote role in a fully remote team. You are free to work from anywhere that lies between the time zones UTC-1 and UTC+3. Beach? The mountains? Or a co- working space (covered by us)?
* You’ll travel with us (when safe) for team gatherings in amazing locations several times a year. You can check out this playlist to find out more about how we stay close while being remote. (http://bit.ly/39xtIrn )

# Requirements

* You will be successful in this position if you
* Love solving problems and have a burning desire to transform data into actionable insights
* Have 3+ years of experience with product analytics, cohort analysis, A/B testing and retention analysis
* Are fluent in SQL and Python data analytics libraries
* Have great communication and team skills
* Have Strong attention to detail
* Are familiar with statistical concepts
* Have a hands-on attitude and are highly self-driven

# Sound like you?

Great, we would love to hear from you! Please send us the following:

* Your CV in English, highlighting your most relevant experience.
* A write-up (Cover Letter) explaining who you are and why you would like to work with us.
* Examples of your public work if you have any (e.g. GitHub, blog)

At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.

We have a rolling recruitment process – if this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?

# Perks

* Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!
* Get access to generous discounts from leading outdoor and cycling brands and more
* Flexible working hours and locations
* 3 all- expenses paid Company gatherings per year
* The latest devices and equipment
* And more!

Analytics

Europe

Senior Data Analyst

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, instantly available and universally accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.
  
Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.  
  
Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.  
  
Check out our locations, benefits and more at cash.app/careers. Job Description

The CCO Analytics team is a one-stop data team for operations needs now scaling with the needs of the business.  We’re working hard to build the infrastructure and dashboarding solutions needed to keep Cash going strong.

As a data analyst for CCO you will use your skills to support the data needs of the organization. You will build data visualizations that provide insights to how the business is performing, and impactful insights that drive the business forward. You have a drive for improving the business and providing insightful data that help people become key participants in the economy. 

# You will: 

* You will use data to drive analysis and actionable insights that drive daily operations, and future plans for business growth
* You will work with key stakeholders and provide data visualizations that indicate the pulse and health of their line of business
* You will build and maintain dashboards that widely used by the organization 
* You will produce ad hoc data analysis that answer pivotal questions about the business    

# Qualifications

* 3+ years of experience as a data analyst
* Knowledgeable of operations metrics like AHT, CSAT
* Creative data visualizer and dashboard creator
* Comfortable gathering business requirements for dashboards and ad-hoc reports
* Ability to communicate and partner with both business and technical teams clearly
* Technical skills must include SQL, Tableau/Looker, and cloud environments
* Able to create a report without use of Excel/GSheet
* Willing to work in a fast-paced environment

# Bonus:

* Experience or exposure to Python or R
* Experience in customer service 
* Financial institution experience
* Previously automated reports to ensure data quality
* Experience working with multiple teams and their associated reports needs
* Strong statistical knowledge of A/B testing, linear regression, ANOVA

# Additional Information

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

Tableau

Data Analyst

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

# Responsibilities

* Identify valuable data sources and automate collection processes
* Undertake preprocessing of structured and unstructured data
* Analyze large amounts of information to discover trends and patterns
* Build predictive models and machine-learning algorithms
* Combine models through ensemble modeling
* Present information using data visualization techniques
* Propose solutions and strategies to business challenges
* Collaborate with engineering and product development teams

# Requirements

* Proven experience as a Data Scientist or Data Analyst
* Experience in data mining
* Understanding of machine-learning and operations research
* Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
* Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
* Analytical mind and business acumen
* Strong math skills (e.g. statistics, algebra)
* Problem-solving aptitude
* Excellent communication and presentation skills
* BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

# Benefits

* Health Care Plan (Medical, Dental & Vision)
* Unlimited Paid Time Off (Vacation, Sick & Public Holidays)
* MacBook Laptop
* Training & Development
* An amazing company that is GROWING QUICKLY!

Machine learning

Statistics

Shopify is now permanently remote and working towards a future that is digital by design. While UK is one of our hubs, this role is open to candidates in European time zones.

At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.

# Job Description

Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. 

Our data scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. The vision of the team is to grow Shopify by bringing global merchants onto our platform, and making them successful wherever and to whomever they sell. As part of the International data science team your job will be to help our teams, both commercial and RnD, to make great decisions, quickly. You will focus on the challenges that arise from adapting Shopify to local commerce needs and requirements, and help our teams steer into the right direction by providing the right data at the right time.

Please note, this team is based in EMEA/Europe, and we are specifically looking for people to join us in these regions only.

# Your responsibilities:

* Proactively identify and champion projects that solve complex problems across multiple domains.
* Partner closely with product, engineering and other business leaders to influence product and program decisions with data.
* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business.
* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes.
* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products.
* Influence leadership to drive more data-informed decisions.
* Define and advance best practices within data science and product teams.

# Qualifications

You will need to have:

* Extensive experience with Python and software engineering fundamentals.
* Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed).
* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders.
* Curiosity about the problem domain and an analytical approach.
* Strong sense of ownership and growth mindset.

# You should have one or more of:

* Deep understanding of advanced SQL techniques
* Expertise with statistical techniques and their applications in business
* Strong data storytelling and strategic thinking
* Deep understanding of dimensional modelling and scaling ETL pipelines
* Experience launching productionized machine learning models at scale
* Extensive domain experience in e-commerce, marketing or SaaS

SaaS

Senior Data Scientist

Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with more than 50 million daily active people, it is home to the most open and authentic conversations on the internet.

We are looking for a Staff level Data Scientist to work with our Ads Marketplace product team. You will partner closely with cross functional team leaders such as Group Product Managers, Engineering Managers and leadership in utilizing data to drive decision making. In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our Marketplace strategy in a data driven manner.

# How You’ll Have Impact:

Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.

We spent the past few years building the foundations of a modern ad serving system, building features that enable brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now building differentiated products on top of those foundations, utilizing data to drive the product decisions for both short and long term bets. 

As a data scientist on the ads data science team, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Reddit sits in a unique place, where there is still a lot of low hanging fruit that will immediately impact millions of users and thousands of advertisers.

# What You’ll Learn:

You will partner closely with our Ads Product & Engineering team, which is the core driver of revenue for the company.  You’ll play a key role in developing Ads product strategy and roadmap. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem. 
In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product development. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

# What You’ll Do:

* Analyze conversations and behaviors across Reddit's 10,000 interest-based communities, and convert them into insights and product recommendations.
* Understand Reddit advertising and help the company improve Ads Revenue while simultaneously improving ROAS (Return on Ads Spend) for advertisers and ads quality for users.
* Conduct product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.
* Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
* Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.
* Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

# Who You Might Be:

* 5+ years of experience in data analytics or related quantitative role
* 2+ years of experience in the digital advertising space
* Demonstrated ability to influence and guide product strategy with data
* Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
* Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
* Strong ability to communicate and discuss complex topics with technical & non-technical audiences
* Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
* Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)

Staff Data Scientist

# Minimum Requirement:  

* Understanding impact of non-pharmaceutical Interventions.  
* Identification of clusters.  
* Describing prevalence to inform policy response.  
* Deployment of models, many with close engagement with academic partners.

# Key Skills

* Working at pace to deadlines across multiple projects.  
* Working effectively within a team.  
* Working with complex data and information feeds to draw sound conclusions.  
* Python / R experience for Data Science including the core scientific Python (or R equivalent) stack (pandas, numpy, jupyter, matplotlib etc.).  
* Working with cloud-based platforms, such as AWS, Azure.  
* Understanding of data manipulation, assessment and explatory analysis.  
* Experience with computational statistics tools and / or Machine Learning frameworks such as PyTorch and TensorFlow.  
* Data visualisation and dashboarding tools to effectively inform stakeholders and senior decision makers.  
* Understanding and following best practises in key areas such as quality assurance, coding standards and version control.  
* Seeing data products, projects or services through from initial discovery to mature, successful implementation.  
* Identifying and applying the most appropriate data science solution to unstructured business problems.

TensorFlow

Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.

We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.

# Job Description

We are looking for a Data Scientist who will work cross-functionally with technical and non-technical teams to mine internal and external semi-structured data to understand consumer demand in individual markets, drive sales through feed optimization, influence supply, design and deploy long-term merchandising strategies.

The ideal candidate should be passionate about Wish and e-commerce, be able to conduct market research independently, has a strong analytical and consultative mindset, solid understanding of databases, visualization, and modeling techniques, and the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling data-driven solution to solve business problems.

# What you'll be doing:

* Conduct quantitative market research for each market, by analyzing external e-commerce web data, understand regional consumer demand, through various text and image mining techniques
* Analyze and generate insights on internal pricing dynamics on the platform
* Identify high potential but underexposed product candidates, propose strategies to increase their exposure and boost sales
* Implement the strategies and set up A/B test experiments to gauge the impact, and reiterate
* Establish scalable, efficient, and automated processes for data-driven regional merchandising strategies

# Qualifications

* Bachelor's or advanced degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Economics or similar)
* Hands-on experience in predictive modeling and analysis
* Hands-on experience with Python
* Hands-on experience writing complex SQL queries using MySQL
* Experience with Tableau, Superset or other visualization tools
* Experience with Unix/Linux environment

# Preferred Qualifications:

* Experience in e-commerce companies working on mining product listing data
* Hands-on experience in deep-learning models that involve text and image matching
* Experience in designing and running A/B tests
* Analytical mindset and ability to see the big picture and influence others
* Detail-oriented and must have an aptitude for solving unstructured problems
* Ability to work effectively in a multi-task, cross-functional, and high volume environment
* Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations

Data Scientist, Market Intelligence

CRB is a leading provider of sustainable engineering, architecture, construction and consulting solutions to the global life sciences and food and beverage industries. Our more than 1,600 employees provide best-in-class solutions that drive success and positive change for our clients, our people and our communities. CRB is a privately held company with a rich history of serving clients throughout the world, consistently striving for the highest standard of technical knowledge, creativity and execution.

# Job Description

CRB is looking for an energetic, self-motivated, pro-active, organized, and well-rounded individual that has a good understanding of Microsoft’s data, reporting, and business intelligence tools to assist in delivering on our internal data and business intelligence initiatives. The successful candidate must possess the skills required to successfully execute project tasks, have a strong work ethic, and be a dynamic team player. This person will be expected to execute work on one or more data projects simultaneously as delegated by the Information Director. Project work will include a variety of documentation, data modeling, Power BI and Excel work, reporting efforts, and end-user engagement.

# Responsibilities

* Elicit data related business requirements from stakeholders and develop associated technical specifications
* Develop metrics, KPI’s, Reports, and Dashboards to support company-wide project and management teams.
* Provide advice on the usage, interpretation, and analytic value of business data
* Provide analytical assistance, and knowledge transfer to business users to aid their self-service analysis efforts
* Assist end users in the use of Excel, Power BI, and the consumption of the CRB data model.
* Set and execute professional development goals.
* Travel as required for professional development and project execution.

# Qualifications

* 2+ years’ experience using Microsoft Excel
* 1+ year experience using Power BI Desktop, and advanced Microsoft Excel features including Power Query/Power Pivot
* Proficiency in MS Office Suite
* Extreme attention to detail and accuracy a must
* Excellent verbal/written communication skills required
* Experience with accounting terms and concepts preferred

# Additional Information

All your information will be kept confidential according to EEO guidelines.

CRB is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Employment is contingent on background screening.

CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of CRB without a prior written search agreement will be considered unsolicited and the property of CRB. Please, no phone calls or emails.

CRB offers a complete and competitive benefit package designed to meet individual and family needs.

Excel

# The Company:

WorkStep is the leading software provider of workforce retention and hiring solutions for the supply chain industry. We’re a Series A startup (backed by leading investors) who is disrupting the industry and changing the way companies have traditionally hired and retained their frontline supply chain workers.

Our mission is simple: to make the supply chain a better place to work. How? By helping companies within e-commerce, manufacturing, retail, CPG, transportation, and logistics make better-fit hires and improve their frontline workforce satisfaction and retention.

# The Role:

WorkStep is a data-first company, and putting data to work is an aspect of everything we do. Our growing Data Science team (Analytics, Data Science, and Data Engineering) is a specialized, cross-functional group that collaborates with a variety of departments to drive decisions and provide direction for the company.

As Director of Data Science at WorkStep, you will be instrumental in continuing to build out the Data Science function within the organization and laying the foundations for accelerating the way we bring data and insights to our product and business operations. You will work directly with the CTO to develop a strong bench of talent, model our vast data repositories, and define mechanisms for bringing critical thinking to all corners of our business operations.

We are looking for a creative thinker who can develop and execute workable solutions to complex problems that will have an impact in days, instead of a perfect one that might require weeks. The ideal candidate has the acumen to leverage modern techniques to drive business value, but also the experience to bring rigor, maintainability, and scalability to our data operations.

# Responsibilities:

* Hire, develop, and lead a team of top talent data scientists and engineers
* Lead the team to deliver strong results by researching and building cutting edge, leverageable methodologies and solutions.
* Partner and influence leadership to ensure team priorities and output directly impacts company strategy, direction and growth.
* Own the raw data sources and modeling layers that power Business Intelligence for BizOps and Finance
* Collaborate closely with Product Engineering in a formal Data Review to ensure the accuracy and integrity of any productionalized analytics.
* Ultimately responsible for our data pipelines and warehouse.
* Chief architect for how WorkStep develops, maintains, operationalizes, and integrates modern machine learning models into our various workflows.

# Requirements

* MS/PhD degree in a quantitative field (computer science, applied math, economics, statistics, engineering) or equivalent industry experience
* 3+ years people management experience in a technology setting
* Expert command of SQL and mathematical programming (R, Matlab, Scikit, etc)
* Significant experience with data warehousing (BigQuery, Redshift, Snowflake)
* Significant experience operationalizing modern machine learning techniques
* Experience with Python and common analytical libraries
* Familiarity with ETL and data pipeline mechanisms
* Extreme attention to detail
* Comfortable in a smaller rapidly evolving early stage start-up environment working remotely
* Passion for the WorkStep mission

# Benefits

WorkStep is a fully remote company, meaning our team can work from where it suits them—whether that's East Coast or West Coast, in the mountains, or at the beach. We're a collaborative bunch who are focused on helping our customers succeed and deliver results, FAST. But we also know how to have fun and enjoy each other's company. Our benefits include:

* Remote working environment
* Unlimited PTO
* Top-notch technology
* Quarterly team building on-sites (when safe to resume)
* Workspace, wellness, and L&D stipends
* Competitive company-sponsored health, vision, and dental benefits package
* Opportunity to join a passionate, motivated, and fun team at an early stage to help shape and execute on our mission

If you’re a collaborator who likes a challenge, who doesn’t mind rolling up their sleeves and getting stuck in, and wants to join a fast growing company at an early stage, we want to hear from you!

MATLAB

Director of Data Science

Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.

Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.

There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.

# Job Description

Block is built by an incredible team that is on a mission to make commerce easy for all types of businesses. As a DS lead for Square Appointments and Square Conversations, you will have an opportunity to drive impact for the millions of small businesses utilizing our platform to start, run and grow their business. Square Appointments helps businesses in the services industry succeed by building everything they need to run their business: scheduling and online booking, a point of sale that tracks customer details, and a secure, fast payments system. The Conversations team builds Square Messages, a messaging platform for merchants to manage conversations with their customers, Messages is also home to Square Assistant -- a virtual assistant to help merchants serve their customers 24/7.

In this role, you will lead a team that leverages a unique set of skills, including, data engineering, analytics, data science, and machine learning to help us grow our products and kick off green field initiatives.

# You will:

* Lead a team, hiring new data scientists, setting goals, collaborating, and working with our partners.
* Have an impact on business and product strategy by leading the DS discipline across three scaling products.
* Provide mentorship to team members through feedback, coaching, and hands-on technical guidance.
* Create data products that bring intelligence into our products.
* Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior.
* Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives.

# You Have:

* ​​​2+ years of experience in people management with experience building teams and growing talent
* 7+ years of data science experience or equivalent
* Experience applying statistical and machine-learning techniques to building data products, solving practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes.
* Experience working on product initiatives focused on growth, new markets and/or marketplaces
* B.S+ in a quantitative field (mathematics, statistics, or similar STEM field). M.S preferable.

# Additional Information

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

# Perks

We want you to be well and thrive. Our global benefits package includes:

* Healthcare coverage
* Retirement Plans
* Employee Stock Purchase Program
* Wellness perks
* Paid parental leave
* Paid time off
* Learning and Development resources

Management

Data Science Manager

Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with more than 50 million daily active people, it is home to the most open and authentic conversations on the internet.

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

We are looking for a Data Scientist to work with our Content and Communities Team to drive insights on how communities on the platform grow and evolve, as well as, the impact of community growth on content production.  Your work will be critical to furthering Reddit’s mission of bringing a sense of community and belonging to our millions of users.   You will partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage community participation, content creation, discovery, adoption, retention, and growth.

# How You’ll Have Impact:

Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. A true sense of community and belonging can only be achieved by ensuring that there is a diverse set of communities and content on the platform and that we are able to connect the right people to the right communities.  Your work will directly contribute to those efforts.

# What You’ll Learn:

You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s). 

# What You’ll Do:

* Conduct exploratory analyses on understanding community growth to help shape the work the team undertakes
* Identify the signals that can be best leveraged to connect users to the communities that will inspire them to contribute posts or comments
* Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
* Communicate findings and co-design strategy with the most senior leaders in our organization

# Who You Might Be:

* 4+ years of experience in quantitative or data science, or product analytics roles, 
* Proficiency with relational databases (e.g., SQL)
* Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
* Results-oriented with a strong customer and business focus
* Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
* Ability to communicate and discuss complex topics with technical and non-technical audiences
* Ability to tackle ambiguous and undefined problems

The Analytic Consulting Group partners with internal and external clients and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making. The Senior Data Analyst helps support all aspects of analytic initiatives from conception to completion.

# Responsibilities:

* Provide SAS/SQL programming, under general direction, in the execution of data analysis that will contribute to the final project deliverables
* Appropriately account for the timeliness and quality of all assignments
* Collaborate with internal and external stakeholders to manage data logistics - including data transfers, understanding data structures, business rules, etc. - to enable project execution
* QA/QC data and report output to ensure accuracy
* Assist in development of reports, providing content and writing of key observations
* Participate in presentation of reports to key internal and external stakeholders, effectively communicating the key findings and recommendations
* Manage multiple projects concurrently
* Prioritize and monitor project progress relative to timeline and scope

# Minimum Qualifications:

* Bachelor or Master’s degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics)
* Minimum 2 years of experience in marketing analytics field
* Proficient in SAS/SQL; minimum 3 years’ experience
* Proficient in MS Office, including PowerPoint, Word, Excel and Outlook
* Solid planning, priority setting, and project management skills with experience managing multiple projects concurrently
* Excellent verbal and written communication skills
* Successful developing relationships within and across functional teams (including statistical, technical, and marketing resources)
* Strong technical skills

# Desirable Qualifications:

* Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
* Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies
* Working knowledge of the mathematical optimization algorithms and tools
* Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables; proficiency with business visualization tools (e.g., interactive dashboard software)

# Additional Information

When you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services.

Thanks to the work of every employee, Epsilon products and services have been recognized as industry-leading by the Forrester Wave™. We process more than 500 billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. And our CORE ID® is the industry’s most accurate, stable and scalable identity solution that helps brands recognize and reach 200M+ U.S. consumers in a privacy-safe way.

Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world.

# Great People Deserve Great Benefits

We know that we have some of the brightest and most talented associates in the world, and we believe in rewarding them accordingly. If you work here, expect competitive pay, comprehensive health coverage, and endless opportunities to advance your career.

Epsilon is an Equal Opportunity Employer.  Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories.

Epsilon will provide accommodations to applicants needing accommodations to complete the application process.

For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. 

Applicants with criminal histories are welcome to apply.

We are the world’s leading global information services company. During life’s big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organisations to prevent identity fraud and crime.

We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximise every opportunity. We are listed on the London Stock Exchange (EXPN) and are a constituent of the FTSE 100 Index.

# Our approach to flexible working

We care about work that works, whether that’s about where you work or adjusting your hours to fit better with your life. Our flexible working practices, including our hybrid working model where you can split your working time between the office and your home, support our belief that this balance brings long-lasting benefits for our business as well as ensuring that our people can balance successful careers with their commitments and interests outside of work. So that you can love where you work, please discuss what works for you with your recruiter during the hiring process.

# Accepting you, for you.

We want you to feel accepted for who you are and to feel safe, valued and to help us build a culture of true belonging. Experian is proud to be an equal opportunity employer and we take affirmative action to create a more inclusive and equitable world of work. We are committed to equal employment opportunities regardless of age, disability, gender identity, marital status, race, ethnicity, faith or belief, sexual orientation, socioeconomic background, Veteran status or whether you’re pregnant or on family leave.

# Job Description

We are currently recruiting for an integral Data Scientist position in our UK Consumer Information team. This is a fantastic opportunity to be part of a small but extremely capable data science unit within Experian who have recently developed a brand-new product.

No-Questions-Asked (NQA) is a new Experian product that provides loss models to home insurers so they can quote for home insurance based on just the address of the property.  NQA is powered by a dataset of 250 good quality property attributes which are prepared by the NQA team. The modelling is conducted in R and published via an Azure-hosted API.

You will be responsible for developing and automating the data preparation processes for NQA, along with rebuilding and creating new loss models for customers. This will ensure the innovation of NQA and help the product achieve great success within the Insurance world.

Working closely with your team, you will blend a knowledge of modelling and coding with fantastic communication skills to liaise with customers about the technical aspects of the models that you are building for them.

This is an exceptional role for a talented individual with a strong Data Science background to play a key part in an exciting new area of the Experian business!

# Qualifications

We’re looking for someone with a proven Data Science background with developed skills using programming languages such as R.

We’re after a team player with strong communication skills, who enjoys problem solving and has a keen eye for identifying errors and resolving issues. You will ideally have a desire to develop your skills and knowledge and help drive innovation forward within Experian.

It would be great if you have experience in feature engineering and developing inputs for modelling.

Everyone has different experience, and so please don’t rule yourself out if you cannot ‘tick’ all of the qualities mentioned above. Talk to us about the experience that you do have.
  
# Why choose us?

Our colleagues’ health and wellbeing are a top priority for us, that’s why our reward, benefits and wellbeing programmes are designed so you can come to work feeling your very best self. Our benefits focus on health, money, and lifestyle so you can tailor your benefits to your own personal needs. Whether it’s your physical and mental wellness, getting to work or preparing for the next big milestone in your life, we have a range of flexible options to have you covered!

Could this be the role for you? Apply now to start your journey with Experian.

Azure

At Shopify, we build products that help entrepreneurs around the world start and grow their businesses. We’re the world’s fastest growing commerce platform with over 1.7 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.

Shopify is now permanently remote and working towards a future that is digital by default. 

# Job Description

Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organise and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organisation. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. 

Our data scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

This role is to join the APAC Revenue Data team, which is the data science team supporting the APAC Revenue org. Revenue is Shopify’s go-to-market org, which encompasses functions such as marketing, sales, partnerships, merchant success and support. The APAC data science team therefore works with these business stakeholders to get the Shopify product in the hands of merchants in APAC, and ensure that they grow and succeed on the platform. In addition we collaborate with and learn from our data science peers spread across the other regions and crafts within the company.  
  
This role is to be based within Asia-Pacific (APAC) preferably in Singapore, India or Australia.

# Responsibilities:

* ​​​​​​Proactively identify and champion projects that solve complex problems across multiple domains
* Partner closely with product, engineering and other business leaders to influence product and program decisions with data   
* Apply specialised skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes
* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
* Influence leadership to drive more data-informed decisions
* Define and advance best practices within data science and product teams

# Qualifications

* 3+ years of experience as a Data scientist. Domain experience in e-commerce, marketing or SaaS would be a plus.
* Bachelor’s or Master’s degree in Information Technology, Mathematics, Computer Science or equivalent is preferred
* Extensive experience with Python or Pyspark and software engineering fundamentals
* Deep understanding of advanced SQL techniques, dimensional modeling and scaling ETL pipelines
* Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders; Masterful data storytelling and strategic thinking
* Strong sense of ownership and growth mindset; self-motivated and able to thrive in a remote environment
* Excellent communication skills; proficiency in English is a must

# Additional Information

We understand that applying to a new role takes time and effort, and we thank you for this. If your experience is this close then please do consider applying.

At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialised people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

Asia

Blend360 is a world class marketing, analytics, and technology company that delivers the best results for our clients. Our primary focus is Data Sciences; leveraging data and applied mathematics to solve our clients’ business challenges. Blend360 is known for our exceptional people, our get-it-done mentality, and delivering high impact and sustainable results. If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360.

# Job Description

* Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints 
* Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons  
* Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps 
* Develop a project plan including milestones, dates, owners, and risks and contingency plans 
* Create and maintain efficient data pipelines, often within clients’ architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies 
* Assemble large, complex data sets from client and external sources that meet functional business requirements. 
* Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.  
* Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues  
* Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making 
* Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools 
* Document predictive models/machine learning results that can be incorporated into client-deliverable documentation 
* Assist client to deploy models and algorithms within their own architecture 

# Qualifications

* MS degree in Statistics, Math, Data Analytics, or a related quantitative field 
* 2+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization 
* Experience with one or more Advanced Data Science software languages (Python, R, SAS)  
* Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches 
* Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive 
* Experience with spark and data-frames in PySpark or Scala 
* Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing. 
* Comfortable with cloud-based platforms (AWS, Azure, Google) 
* Experience with Google Analytics, Adobe Analytics, Optimizely a plus

Hadoop

Locus Robotics is a leader in the supply chain robotics and rapidly growing eCommerce order fulfillment optimization space. Our solution helps warehouse operations attain 2-3X efficiency over cart-based operations by empowering operators to work collaboratively with our robots. This is an opportunity to join an industry leading and innovative team deploying cutting-edge technology to address real-world logistics challenges for major global brands.

Our company is looking for an experienced Data Analyst interested in joining a rapidly expanding global robotics start-up. In this role you will partner with our Sales Engineers and apply your expertise in data analysis to provide meaningful insights and communicate our value proposition to clients. If you are driven by efficiency, eager to solve big data challenges, and excited for an opportunity to grow within the space of robotics – we should talk.

# Job Description

* Assist in the understanding of a client’s warehouse operations through data analysis to support the solution design process
* Analyze order/demand volumes, demand profiles, cube & weight, container selection, slotting, heat maps, and travel path estimates
* Maintain and build Excel-based tools used by the sales team to help determine robot counts, productivities, ROI and savings
* Develop data analysis templates to standardize and streamline the analysis process
* Identify opportunities for continuous improvement of our existing tools
* Assist in the automation of Sales Engineering activities
* Administer, maintain, and improve the Client Metrics database 
* Assist Sales and other Sales Engineers in performing comparative site analysis 
* Work with cross-functional teams on related technologies and tools.
* Assist with Sales Engineering team reporting such as Salesforce.  

# Qualifications

* Bachelor’s degree required
* 1+ years of previous experience as a Data Analyst 
* Advanced Excel proficiency (pivot tables, VBA, macros, XLOOKUP, etc.)
* Experience with SQL, MySQL or another large dataset analytics tool required 
* PowerBI, Tableau or other Business Analytics and Visualization applications a plus
* PowerQuery experience a plus
* This is a remote position based in US.

Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been name in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

Experian gathers, analyses and processes data in ways others can't. We help individuals take financial control and access financial services, businesses make smarter decisions, lenders lend more responsibly, and organizations prevent identity fraud and crime. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. We're investing in new technologies, talented people and innovation so we can help create a better tomorrow.

Experian’s Business Information Services (BIS) is a leader in providing data and predictive insights to organizations. By leveraging state-of-the-art technology and superior data compilation techniques, we provide market-leading tools that assist small and midsize businesses in making real-time decisions

# Data Science Analyst Senior

Experian is looking for a Senior Data Science Analyst to join the Commercial Data Sciences Team in Business Information Services (BIS). This is a unique opportunity to get involved in the BIS Data Solutions group from the ground level by developing new internal and external data pipelines while supporting the creation and auditing of attributes/features/models from various data sources. You should be comfortable doing both exploratory evaluations of data in a big data environment and identifying new cutting-edge data sources to drive commercial insights.

# Key responsibilities

* Partner with the technology team to create new data pipelines
* Develop dashboards and reports, leveraging data visualization and other tools
* Evaluate new data sources alone as well as blended with current data sources
* Write efficient scalable code and automated repeatable processes
* Analyze, create, audit, and document attributes/features
* Create Proof-of-Concept (POC) models
* Generate reports following quality control procedures to document analysis and findings
* Work with cross functional teams to resolve internal and external client questions

# Knowledge, Experience & Qualifications

* Bachelor of Science or similar degree in Data Science, Computer Science, Information Management, Engineering, Economics, Statistics, or another related field
* 3+ years of relevant working experience
* Proven problem solving, creativity, and analytical skills
* Excellent organizational, relationship building, and communication skills
* Proficient in desktop applications such as Word, PowerPoint. Advanced Excel skills
* Attention to detail
* Candidates with the following skill sets will be given special considerations:
* Python, SQL, SAS, Hive, UNIX, Tableau

# Preferred Qualifications and Experiences

* Masters or similar degree in Computer Science, Information Management, Applied Mathematics, Statistics, or a related field
* Proven experience in big data environments like AWS, PySpark, HUE, Scala
* Experience with consumer and commercial credit data
* Experience with feature engineering and risk modeling

Senior Data Science Analyst

Founded in 2020, SkillUp Coalition is a 501(c)(3) nonprofit dedicated to helping millions of frontline workers obtain in-demand jobs in high-growth industries.  The Coalition is composed of over 60 training and education providers, employers, tech firms and philanthropies, which enables partners to share best practices, collaborate on shared challenges, and participate in public engagement campaigns that help displaced workers begin a prosperous new stage in their careers.

SkillUp gives frontline workers the opportunity to build new skills that are suited to in-demand jobs with promising career paths.  Since its July 2020 launch, nearly 500,000 workers have visited our curated platform at SkillUp.org, which provides access to three services:

* Career Navigation — Our tools and resources guide frontline workers in choosing a career path that aligns with the economy of the future (partners include Guild Education, Inside Track)
* Training Programs — We help learners find programs that match their career goals and provide funding options to help them cover tuition costs (partners include Generation, edX, YearUp)
* Job Opportunities — We connect workers to open roles or earn-and-learn pathways that match workers’ career aspirations (partners include Walmart, Coolsys, Paschall Trucklines)

All positions at SkillUp are remote, enabling team members to work from anywhere in the US.  With such an important mission, we take our work seriously, but we don’t take ourselves seriously.  We are building a diverse team from all types of backgrounds, so if you feel like you have the ability to perform the responsibilities of the following job description, please consider applying!

# Job Description

SkillUp seeks a curious, creative, dynamic, and passionate Data Scientist who will be responsible for providing the Leadership Team with the analytics, dashboards, and reports across the organization, including Product, Marketing, Partnerships, and Fundraising. 

This role is a remote, full-time opportunity.

# In this position you will:

* Use your skills to explore and identify trends related to productivity of product offerings and site assets. 
* Draw actionable insights from various datasets through effective data visualizations and storytelling
* Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
* Deep dive into marketing analytics to gauge success for awareness and customer acquisition  campaigns
* Deep dive into Google analytics, adoption, and relevance of SkillUp websites
* Identify, secure and overlay existing 3rd party data sources (e.g., equifax) to augment the information available to SkillUp. 
* Conduct ad-hoc analyses exploring topics of interest to SkillUp and our funders.
* Interact cross-functionally, making recommendations at multiple levels of stakeholders.
* Research and develop analysis, forecasting, and optimization methods to improve the quality of SkillUp’s internal and external practices and services.
* Compare analytics across different geographic regions to determine most effective marketing and product tactics to reach audience
* Enhance data collection efforts to capture and report on user feedback, training outcomes, and employment outcomes
* Prepare infographics to visually present key findings to internal and external partners
* Analyzing labor market data to determine best career paths for most economic mobility

# Qualifications

* 2+ years experience in Data Science roles or similar research activities
* Have deep statistical knowledge, utilizing in A/B testing, analyzing observational data, modeling, and other statistical concepts
* Experience articulating and translating organizational questions and using statistical techniques to arrive at an answer using available data
* Strong critical thinking and active listening skills to infer organizational needs and ability to work closely with leadership team at a strategic level
* Experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
* Experience coding with a general purpose programming language (i.e. Java, C/C++, Python) preferred
* Strong data visualization skills
* Can work independently and collaboratively.
* Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment

# Benefits

* Healthcare:  We pay 100% of your medical, dental, and vision coverage and 50% of the premium for your spouse and dependents.
* Retirement:  We have a 401k Program with company matching.
* Paid Time Off:  We value work-life balance and encourage our team members to take time off. In addition to 12 Paid Company Holidays, we offer the following paid time off:
* 20 Paid PTO days (25 PTO days after reaching the three-year mark)
* 5 Sick days
* Two weeks of company shutdown during the week of July 4th and between Christmas and New Year’s
* 2 “Floater” days to be used at your discretion
* Parental Leave: To help support new parents in the workplace, we offer 12 weeks of paid parental leave.
* Mental Health and other Supports:  We live in a stressful world that can affect us physically and emotionally,. To support workers’ well-being, we offer, at no cost to workers, mental health support services through BetterHelp.com. We also offer  at no cost to workers, Life Insurance, Short Term Disability, and Long Term Disability benefits.

# Perks

* Flexible Work Schedules: We are 100% remote for the foreseeable future, and will continue to offer flexible schedules. Our policies and norms around work schedules are a recognition that we care about work outcomes over time spent at the office.
* Professional Development: We believe that developing our team members’ skills is a pathway to accomplishing our mission. To this end, we offer you $1,000 annually for the professional development opportunities of your choice.
* Home Office:  We will purchase a work computer for you.  We offer a new hire home office stipend up to $500 for the cost of setting up your home for the office as well as a $75 monthly broadband reimbursement.

# Additional Information

At SkillUp, our mission is to help workers get rehired for in-demand jobs in high-growth industries. Success in this mission requires that we don’t just accept difference—but that we celebrate it and embrace the diverse community and backgrounds individuals come from. In short, it’s one of our key values. 

# About M3 Inc

Founded in 2000, with start-up investment capital from Sony, M3’s mission is to make use of the internet to increase, as much as possible, the number of people who can live longer and healthier lives, and to reduce, as much as possible, the amount of unnecessary medical costs. Key achievements of M3 Inc. include:

* Named in Fortune’s 2020 ‘Future 50’ list, ahead of Facebook and Amazon
* Ranked in Forbes’ 2020 Global 2000 list of the world’s largest public companies
* M3 is the only company incorporated after the year 2000 to be included in the Nikkei 225 Index
* Listed in Forbes’ ‘Asia’s 200 Best Over a Billion’ in 2019
* In 2020 M3 founded the ‘M3: Stop COVID-19 Fund’ and pledged one billion yen to support COVID-19 related initiatives

M3’s legacy lies in the power of trusted physician platforms. Around the world, M3 organisations leverage these highly engaged digital communities to deliver medical education, job placement, and market research, to improve global patient outcomes.

This role is part of Doctors.net.uk, a subsidiary of M3 Inc., which is an online closed community for doctors in the UK and one of the first of any networking sites to be introduced on the web.  It is the UK's largest professional network of doctors.  By serving to healthcare professionals and enhancing the platform, we are providing the best-in-bleed services to support pharmaceuticals and other providers to perform the best medical communications to healthcare professionals in the region.

# Job Description

Doctors.net.uk is seeking a Product Data Scientist to be part of Engineering Team, reporting into Head of Data, to perform the role of Business Insight Partner for the Product Team and use their expertise to define methodologies of data analysis and provide insights that will ultimately lead to production development.

## Essential Duties and Responsibilities (overall summary of the role):

Including, but not limited to the following:

ROADMAP DATA TOOLKIT:
* Evaluate and define prioritisation metrics and evaluate progress against our company's financial targets (top down)
* Define the relative value of each of our products to create a visual representation of priority and potential success of each item on a roadmap
* Influence the strategic direction of the Product Development Roadmap by identifying opportunities with the available data sets
* Instill data-driven decision making into the product team’s methodology

OPTIMISATION TOOLKIT:
* Devise a continuous multivariate testing and evaluation framework for current products/features
* Define core quantitative user behaviour research techniques to identify the spectrum of relevant user behaviour metrics and combine them with qualitative analysis, competitive analysis and financial analysis
* Observe and investigate any changes and trends in user behaviour and promptly explore and explain the reasons for the shifts
* Generate insights and testable hypotheses to improve products and features - regularly break down KPIs into the levers we have to impact them, guiding product stakeholders on where they can have an impact
* (Continue to) define KPIs on each project that can be monitored once in production

## Qualifications

* At least 3 years’ experience in data analysis to provide insights, preferably in business decision making or product development.
* Python /R /SQL - Data Science / AI /Machine Learning expertise
* Proven Analytical Mindset defining KPIs to achieve the goals with data visualisation skills using tools like Qlik view / Qlik Sense or other Visualisation tools      
* Product analyst background from Media / Publishing / Digital marketing/ E-commerce or similar background is highly desirable
* Must be a Thought Leader with experience demonstrating introducing innovation.  
* Applied knowledge of data & analytics tools and approaches across all data lifecycle stages.
* Assessments and evaluating impacts of missing/unusable data; design and select features, develop, and implement statistical models using algorithms on diverse sources of data and testing and validation of models.
* Utilise analytical applications like Python/ R etc, to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into business strategies or analytics software.
* Advanced knowledge and commercial experience using SQL and Python or R.
* Excellent understand of A/B testing and experimentation.
* Strong business acumen - user behaviour analysis through the lens of our business goals.
* Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
* Strong communication and stakeholder management skills -
* A bold thought partner to the product team
* A decision scientist who can help us forecast our future successes

# Employee Benefits:

* 25 days annual leave
* Participation in a company bonus scheme linked to personal and company performance
* Group Life Cover 4x salary
* Pension 4%/4% employee/employer contributions
* Vitality after probation
* Staff discount scheme
* Discounted gym membership​

Product Data Scientist

Experian Consumer Services is seeking a Data Scientist to help deliver personalized financial solutions to our customers. The ideal candidate must have the ability to extract insights from data and deliver a ML project from beginning to end, including understanding business needs, training/validating ML models, and deploying ML models to applications. In addition, the candidate must be able to thrive in a complex and fast-paced environment.

# About us, but we’ll be brief

Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that **FORTUNE has named Experian one of the 100 Best Companies to work for**. In addition, for the last five years we’ve been named in the **100 “World’s Most Innovative Companies” by Forbes Magazine**.

We are seeking a Data Scientist  to join our Experian Consumer Services team!

# What you’ll be doing

* Develop machine learning algorithms with huge data sets to solve challenging business questions.
* Improve performances of existing algorithms.
* Discover new data sources and create new input features for ML models.
* Build end to end data pipeline for ML models
* Communicate key analytical results to stakeholders

# What your background looks like

* Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science, etc.) or equivalent professional experience.
* 2+ years of work experience in a quantitative field such as data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks, etc.. Experience with e-commerce and digital marketing is preferred.
* Experience with statistical modeling techniques such as regression, support vector machines, and neural nets. Experience with natural language processing is a plus. Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks is a plus.
* Experience with cluster-computing framework, such as Hadoop or Spark.
* Experience with analytical tools and programming languages such Python or R. Working knowledge of SQL.
* Excellent oral and written communication skills

# Perks

* During this pandemic, all Experian employees are working remotely. Once it’s safe to do so, we’ll slowly return to our offices however we are in no rush to do this. The safety of our employees is of utmost importance.
* 15 days of vacation annual accrual, five sick days and two volunteer days (plus eleven paid holidays).
* Competitive pay and comprehensive benefits package, with a bonus target of 10%.
* Flexible work schedule and relaxed dress code.

Spark

Algorithms

At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nation's housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career.

# Job Description

As a valued colleague on our team, you will use moderately complex techniques to produce insights, new product or change recommendations, process improvement or automation, and predictive modeling. You will use data mining and data analysis methods, be adept with common large data processing techniques, computational programing capabilities, practical problem-solving skills, and have an ability to articulate solutions to non-technical consumers or partners. As a senior associate, you will partner with data engineering and data management teams, and apply data mining techniques to external or created data sources in preparation for analysis or use of enterprise data assets.

# THE IMPACT YOU WILL MAKE

The Senior Data Science Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

* Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
* Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources. Conduct research to gain information about products or processes.
* Proactively analyze information obtained from management to conceptualize and define operational problems. Analyze data to identify or resolve operational problems.
* Study, teach and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
* Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
* Implement new statistical modeling capabilities.
* Apply predictive analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms. Apply industry practices in research and testing to product development, deployment, and maintenance .
* Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.
* Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.

# THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

* 2 years
* Desired Experiences
* Bachelor degree or equivalent

## Skills

* Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
* Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP)
* Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
* Programming including coding, debugging, and using relevant programming languages
* Skilled in documentation and database reporting for the purposes of analysis, data discovery, and decision-making with the use of relevant software such as Crystal Reports, Excel, or SSRS
* Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
* Determining causes of operating errors and taking corrective action
* Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions
* Skilled in cloud technologies and cloud computing
* Business Insight including advising, designing business models, interpreting customer and market insights, forecasting, benchmarking, etc.

## Tools

* Experience using APIs for developing or programming software
* Skilled in Python object-oriented programming
* Skilled in SQL
* Skilled in AWS Machine Learning tools such as SageMaker, Lex, Polly, or Forecast
* Experience using JIRA
* Experience using GitHub
* Skilled in Tableau
* Skilled in Excel
* Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
* Experience using BitBucket

Senior Data Science Associate

PubW is a bespoke business unit set up to bring the full power of the Publicis Groupe together to support Walmart’s media and data needs. Through our Power of One model, we put Walmart at the center bringing together specialists in strategy, media investment, data, influencers, commerce, and content delivering a highly connected, purpose-led and collaborative approach for our clients.

PubW’s mission is to help Walmart navigate a period of intense change, continually keeping them “one more step ahead”. This means challenging conventions, driving continual progress, and pushing the marketplace to keep Walmart at the forefront of the media industry. Our approach is grounded in using data and technology to connect with real people across the full funnel, ensuring that Walmart’s investment in media is directly contributing to innovative marketing experiences, driving brand and business growth.

# What does Zenith Data Sciences do? 

Working closely with both the Business Planning and Analytics teams, Data Sciences designs and implements statistical models and machine learning solutions that tie our clients’ marketing to real-world businessgoals. We use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work brings our clients closer to their marketing, helping them understand if they are talking to the right people in the right way.

# What does a successful Senior Data Scientist look like? 

We don’t all look the same, and we don’t expect you to, either. But a successful Senior Data Scientist should share our passion for emerging tech and media, bring an evidence-based approach to decision-making, determine a point of view and share it in a positive way, gear up for a challenge, and always crave to learn more and improve. We are looking for prior experience in marketing analytics, especially digital creative and media, but this isn’t necessarily a requirement. At least 4-5 years of prior professional experience is highly desired.

# What does a Senior Data Scientist do day-to-day? 

Senior Data Scientists form the foundation of the Data Sciences team, structuring and analyzing data, implementing and interpreting models that feed business-improving insights, and putting it all together into presentations that bring the story to life for our clients. Senior Data Scientists work closely with the Data Science Manager to help execute the broader vision for their account, and to continually evolve our Data Science solutions. Day-to-day responsibilities include:

* Design and interpret randomized controlled tests to study a variety of marketing stimuli.
* Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
* Produce accurate statistical analysis and ensure high quality of the data analysis produced. Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
* Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting.

# Requirements

* 4+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
* Bachelor’s degree in a STEM or other related field, or equivalent work experience.
* Strong knowledge of Relational Databases and SQL programming.
* Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R.
* Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems.
* Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, Markov Chain Monte-Carlo (MCMC).
* Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups. 
* World-class customer service skills. Ability to service clients, partners and internal stakeholders by understanding their needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency.

# Preferred Experience

* Familiarity with common advanced marketing analytics solutions such as Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA), and Dynamic Content Optimization (DCO).
* Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, Radio, Print, Search, Display, Email, Ecommerce, and Social.
* Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research.
* Knowledge of other Machine Learning techniques such as Natural Language Processing (NLP) and text mining, and Neural Networks is a plus.

SmartRecruiters understands that people are the heart of an organization. That’s why we’ve built our modern Talent Acquisition Platform to help companies hire the best! As the hiring success company, we enjoy a collaborative office environment that’s casual and dog-friendly. We understand that working hard means you should play hard too, that’s why we offer competitive salaries, generous equity, and strong career progression opportunities.

# Job Description

We are looking for a Senior Data Scientist to join our AI team to help build innovative, data-driven recruiting services. Working closely with R&D leaders, product managers, software engineers, and business leaders,  you’ll create classifiers and machine learning models to clean up and categorize raw data. It will be your responsibility to constantly analyse and experiment with prediction quality and find new ways to make sense of data to better support recruiting processes. As a key member of our team you’ll have a unique opportunity to help us achieve our goals by solving complex data science problems, e.g. predicting how well a candidate will fit a job, how a candidate is likely to progress in their career, what skills a candidate needs. If that excites you, then we can’t wait to connect.

# What you’ll deliver: 

* Exploratory analyses and proof of concept models for innovative products.
* Product features that communicate actionable data insights to recruiters and candidates.
* Robust, production-ready machine learning models that serve as the basis for intelligent product features.
* Active monitoring and continuous improvement of production models.
* Contribution to technological, architectural and infrastructural decisions that concern data, e.g. platform solutions, database solutions, data formats.
* Data initiatives to foster a data culture within the team and across the business.
* Support in planning data projects by providing technical guidance and facilitating smooth releases.

# Qualifications

* While we look carefully at the circumstances of each case individually, most candidates who have performed well in similar senior positions have a Masters/PhD degree in Statistics, Applied Mathematics, Computer Science or related field, and at least three years’ work experience.
* Practical experience pre-processing unstructured textual data and developing NLP models, practical experience developing recommendation systems or some other specialisation that you think could break new ground in the recruiting/career management space!
* Proficiency in Python, including go-to data science libraries within the Python tool stack (Numpy, Pandas, Scikit-Learn, Tensorflow). 
* Experience querying both SQL and NoSQL databases.
* Strong command of English language, both written and verbal.

# Nice to have:

* Habit of writing clean, readable, well-organized, and well-tested code
* Experience with graph databases, the semantic web, and/or other modern ways of structuring data and information.
* Experience with distributed processing frameworks such as Apache Spark and AWS EMR.
* Experience deploying data applications within different environments.
* Experience developing data pipelines.

# Additional Information

You will join us during arguably the most interesting stage of our company. This is an opportunity for you to take on full ownership of a key area and bring it to life. We’re an international team with members from Germany, USA, Sweden, Spain, Italy, China, Greece, France, Poland, Iran, Tunisia, Colombia, and South Sudan.

SmartRecruiters has transformed the hiring process by reducing the stress that comes along with attracting, finding, engaging, and hiring new talent. Leading enterprises like IKEA, Visa, Marc Jacobs, and Square have abandoned their outdated Applicant Tracking Systems (ATS), for our all-in-one platform. What once started as a freemium product, has now turned into the world’s fastest growing enterprise solution.