We're looking for Senior Data Scientists to join the Data Insights team at Zapier.

Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.

Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones, so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!

# About You

* You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.
* You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems. 
* You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.
* You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.
* You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.
* You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).
* You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.
* You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious. 
* You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.

# Things You Might Do

Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:

* Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.
* Drive proactive analysis/research into high-potential green fields.
* Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.
* Ensure all teams have insight to data and can answer their own first-order questions.
* Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
* Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
* Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT, Matillion ETL, and Python or R.
* As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.
* Travel - we come together 2-3 times per year for our employee retreats, typically in North America. You should expect to travel between 5 percent.

# The Whole Package

Our flexible, distributed environment lets us work with the best people from around the world. Zapiens live in 40+ countries, including the United Kingdom, Thailand, India, Nigeria, Taiwan, Guatemala, New Zealand, Australia, and more!

Zapier offers:

* Competitive salary and profit-sharing program
* Equity for All: Stock options (or equivalent) for every Zapien
* Healthcare + dental + vision coverage*
* Retirement plan with 4% company match*
* $2,000 annual learning stipend for use on courses, conferences, and more—your choice
* Two annual all-company retreats
* 14 weeks paid leave for new parents of biological or adopted children
* Customized Zapiversary rewards on your 1, 3, 5, 7 and 10 year work anniversaries
* Leading-edge equipment. We set you up with an Apple laptop and provide an additional budget for you to choose other home office accessories and software you may need.
* Time to renew. We encourage Zapiens to take at least 2 weeks off each year. Most of us take 4-5 weeks, in addition to locally recognized holidays
* Opportunity to work with Zapier’s amazing partners network

Analytics

Python

Senior Data Scientist

Measured Analytics and Insurance is a high-growth Insurtech based in Salt Lake City, Utah. We're building smarter cyber insurance products designed specifically for the future of digital risk powered by artificial intelligence and machine learning. At Measured, we passionately believe in the power of data to drive better outcomes for our customers. 

# Job Description

We are looking for a Data Scientist to play a critical role in our growing Data Science team, building the best-in-class cyber insurance risk modeling technology. The ideal candidate will be responsible for developing advanced analytics and machine learning models across multiple product channels. If you are passionate about transforming data into actionable insights, we want to talk to you.

The things we'd like you to do: 

* Partner with business and technical stakeholders across the organization to translate challenging business problems into impactful data science solutions
* Collaborate with data engineers, data stewards, product owners and business users to support projects through the end-to-end data science lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment
* Apply a variety of advanced analytical techniques, including predictive modeling, machine learning, time series analysis, simulation, and optimization
* Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling
* Communicate complex analytical work to a variety of technical and non-technical stakeholders
* Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications
* Work with the engineering team to integrate risk models with Measured’s cyber-insurance products
* Deliver with a user experience mindset, including the production of visualizations and infographics to distill complex information

# Qualifications

* BS/BA in Statistics, Mathematics, Computer Science, Data Science, Engineering or quantitative field; Masters in Data Science is preferred or an additional 3 years of relative experience beyond the minimum requirement may be substituted in lieu of a degree
* Knowledge of statistical and modeling techniques including hypothesis testing, dimensionality reduction, supervised learning (classification and regression), forecasting, and unsupervised clustering
* Some knowledge and experience in scripting and programming with Python, Jupyter notebooks and ML/Data Analytics libraries
* Aptitude for learning and applying new technologies related to Data Science and Data Management
* Working knowledge of Data Engineering tools on AWS such as Glue, Athena, S3

# Additional Information

* Get in on the ground floor of a new & growing company
* Significant career advancement opportunities in an expanding operation. 
* The chance to have direct input on shaping company strategy and direction 
* Autonomy while being supported by skilled teammates  
* Ability to work remotely 

Machine learning

Statistics

Data Scientist

Defending the health and integrity of the public conversation is Twitter’s top priority. The Health Data Science Team partners with Product, Engineering, and Policy to rigorously understand and quantify Twitter's highly complex and adversarial Health space and use this understanding to empower the Health Organization to better protect our users.

# As a Data Scientist on the Health Data Science Team you will:

* Leverage data to identify unwanted interactions, violations of Twitter’s policies, misinformation, and other platform abuse then mitigate those issues with models or quantitatively driven product changes. 
* Design, implement, and analyze experiments to determine how new models or products improve the health of the platform. 
* Conduct analyses to better understand the determinants of the health and integrity on Twitter. Use this understanding to suggest product improvements. 
* Create accurate and statistically sound summary metrics to evaluate the performance of Health related products and motivate teams’ targets/KRs.
* Communicate findings to executives and cross-functional teams.
* Review other data scientists’ code and results to foster a culture of rigorous analysis and constructive feedback. 
* Help set the team direction by driving cross-functional alignment on projects and priorities.

# Qualifications

* Advanced degree in a discipline that uses statistical analysis or mathematical modeling and 4+ years of work experience (or 7+ years of total work experience).
* Experience measuring and mitigating consumer products’ vulnerability to manipulation and subversion.
* Experience with one or more of the following in an applied business setting: experimental design and analysis, quasi-experimental analysis, and machine learning.
* Track record for executing projects and leading complex, multi-functional projects with several dependencies, including Legal and Policy teams.
* Strong proficiency with Python / R and SQL; familiarity with Spark.
* Experience mentoring junior data scientists. 

# Additional Information

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The expected salary range for this role to be performed in Colorado is USD$167,000.00 - USD$234,000.00. Starting pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. This range may be modified in the future.

This job is also eligible for participation in Twitter’s Performance Bonus Plan and Equity Incentive Plan subject to the terms of the applicable plans and policies.

Twitter offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, sick time, and parental leave. Twitter's benefits prioritize employee wellness and progressive support to our diverse workforce.

Spark

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

We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes to root out high-risk activity across the Square platform of products. You will also manage top level Risk KPIs, establish core operational metrics, and make improvements through machine learning solutions or analysis.

The Risk Data Scientist will use analytical skills to identify and prevent the payment risks. You will lead experimentations to promote Risk effectiveness throughout Square. You will partner with product, engineering, operations, policies and sales to influence Squares global Risk road map and processes. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.

You Will:

* Diagnose problems and develop compelling, data-driven recommendations
* Develop and maintain multiple data pipelines and ETLs
* Partner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processes
* Have a chance to use machine learning tools to develop data-driven solutions.
* Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experience
* Develop executive presentations for Squares leadership

# Qualifications

* A BS/BA in Statistics, Mathematics, Operations Research, Engineering, Computer Science, Economics, or a related quantitative/technical field
* 7+ years of relevant experience (or masters and 4+ years)
* Experience with SQL, Python and Looker
* Experience with machine learning model development and deployment
* Experience driving data-driven solutions and project-managing their implementation
* Experience answering unstructured questions and managing projects and tasks to a conclusion
* A passion for Square's mission
* Experience risk, trust and safety, payments, or spam prevention

# 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.

# 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

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.

# 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

Staff Data Scientist

Storyblok makes it easier to submit, reuse and publish content on multiple channels. Non-technical people can create and update content quickly without referring back to developers. This allows the developers to focus on designing fast and reliable solutions that delight across all platforms. See us live on Adidas, Deliveroo, and Pizza Hut’s websites.

We are a remote-first, international startup. This means you will be trusted to work flexible local hours. So far our team is made up of 35 nationalities living in 33 countries with 39% of our talent identifying as female. Your diversity will be respected and celebrated and we live by our values.

# What is in it for you

We have been ranked as the 5th most flexible company to work for. You will be joining a growing company where you can contribute to many “firsts”.  Plus these benefits:

* Home office setup allowance or membership to a local co-working space
* A team that loves to have  fun at work and works hard together to accomplish shared goals 
* The annual international team-building trip, plus quarterly and monthly online get-togethers
* 25 days of annual leave (not including sick leave) plus your local national holidays
* Personal development fund for courses, conferences, and material
* Very supportive team members who will help support you along your way 
* Employee options scheme
* As a fully remote company with work-life balance at its core, you'll enjoy flexible schedules

# Job Description

In this role, you will be our analytical data expert who has the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved.

* Identify valuable data sources and automate collection processes
* Analyze large amounts of information to discover trends and patterns
* Prepare and present data in the best possible ways for decision making and problem-solving
* Propose solutions and strategies to business challenges
* Build, train and test predictive models and machine-learning algorithms when necessary
* Communicate findings to all stakeholders
* Collaborate with engineering and product development teams

# Qualifications

* Strong analytical and problem-solving skills
* Experience using SQL to manage and manipulate data for analysis as well as meaningful hands-on experience in Python to deliver data science solutions
* Experience with relational databases (e.g. Amazon Redshift)
* Experience using business intelligence tools (e.g. Metabase)
* Excellent written and verbal communication skills for coordinating across teams
* A drive to learn and master new technologies and techniques
* Passion for remote working

# Additional Information

For Austrian employees: The employment is in accordance with the collective salary and wage agreement for employees of “Angestellte von Unternehmen im Bereich Dienstleistungen in der automatischen Datenverarbeitung und Informationstechnik” ST1 Einstiegsstufe. We offer a higher compensation depending on your experience and skills.

Redshift

At Vouched we are building a powerful identity verification platform to provide access worldwide to life’s most critical services, including healthcare, benefits, and financial services. Vouched makes identity verification easy with a combination of a patent-pending AI cloud solution, at the edge ML, and APIs.

# What we do

* Verify thousands of people every day across multiple countries and industries providing access to critical services
* Serve fast-growing startups, unicorns, and large enterprises, with a focus on providing fast, easy integration for developers
* Run on a modern cloud infrastructure powered by automated integration and unit testing, provisioning, deployments, monitoring, and notifications
* Drive to own the market and deliver a world-changing client and end-user experience

# What you will Do

As a Data Scientist, you'll evaluate and monitor our models, their performance, and their effects on our customers. Additionally, you'll identify potential problems or opportunities for improvement, communicate these issues to the team, and suggest solutions. This involves self-directed investigation into our business and its data, designing and preparing regular reports, as well as conducting ad hoc analyses for the Machine Learning team, company leadership, and external parties.

# Who we are looking for

* 2+ years' in data science or related experience in a production setting.
* Knowledgeable in applied statistics (e.g., AB testing, hypothesis testing, linear and logistic regression).
* Experience with Python or R as well as SQL.
* Strong sense of intellectual curiosity balanced with humility, drive and teamwork. Numerically-savvy and smart with ability to operate at a speedy pace.
* Ability to quickly piece together disparate pieces of information to form a broader picture. Ability to use data to detect bugs, surprises, and other important business issues. Determination to pursue a question until reaching a satisfactory conclusion.
* Data visualization skills preferred.
* Enthusiasm for and alignment with Vouched's mission and values.
* MS or PhD in econometrics, applied statistics or related quantitative areas of study.

# Benefits

* Flexible paid time off
* Healthcare
* Vision
* Equity compensation
* Remote workplace
* Parental leave

A/B testing

Storyblok makes it easier to submit, reuse and publish content on multiple channels. Non-technical people can create and update content quickly without referring back to developers. This allows the developers to focus on designing fast and reliable solutions that delight across all platforms. See us live on Adidas, Deliveroo, and Pizza Hut’s websites.

We are a remote-first, international startup. This means you will be trusted to work flexible local hours. So far our team is made up of 35 nationalities living in 33 countries with 39% of talent identifying as female. Your diversity will be respected and celebrated and we live by our values.

# What is in it for you

We have been ranked as the 5th most flexible company to work for. You will be joining a growing company where you can contribute to many “firsts”.  Plus these benefits:

* Home office setup allowance or membership to a local co-working space
* A team that loves to have  fun at work and works hard together to accomplish shared goals 
* The annual international team-building trip, plus quarterly and monthly online get-togethers
* 25 days of annual leave (not including sick leave) plus your local national holidays
* Personal development fund for courses, conferences, and material
* Very supportive team members who will help support you along your way 
* Employee options scheme

# Job Description

In this role, you will be our analytical data expert who has the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved.

* Define data models that tie together disparate data across the entire organization.
* Create data transformation logic to convert raw data to fit the new data models that make sense for the users.
* Define the metrics we use to measure the success and health of our product as well as business and track them through KPIs and dashboards.
* 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
* Influence leadership to drive more data-informed decisions
* Identify valuable data sources and automate collection processes
* Undertake to preprocess of structured and unstructured data
* Analyze large amounts of information to discover trends and patterns
* Build predictive models and machine-learning algorithms
* Develop and improve databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
* Acquire data from primary or secondary data sources and maintain databases/data systems
* Identify, analyze, and interpret trends or patterns in complex data sets
* Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
* Work with management to prioritize business and information needs
* Locate and define new process improvement opportunities

# Qualifications

* ​​Strong problem-solving skills with an emphasis on product development
* Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
* Experience working with and creating data architectures
* Excellent written and verbal communication skills for coordinating across teams
* A drive to learn and master new technologies and techniques
* Passion for remote working

# Additional Information

For Austrian employees: The employment is in accordance with the collective salary and wage agreement for employees of “Angestellte von Unternehmen im Bereich Dienstleistungen in der automatischen Datenverarbeitung und Informationstechnik” ST1 Einstiegsstufe. We offer a higher compensation depending on your experience and skills.

Europe

Here at Neuro-ID, you will be joining a best-in-class team on a trajectory of tremendous growth. We are a Series-B start-up, backed by top tier investors Canapi Ventures, FinVC Capital, and TTV Capital and we serve some of the largest names across various industries such as Intuit, Square, Affirm, Mission Lane, Petal, and others.

We are pioneering the behavioral analytics space, providing a new standard for collecting, translating and actioning on the real-time behaviors of digital interactions. Through a body of patented technology, Neuro-ID developed the Friction Index™, leveraging over a decade of scientific research and discovery in Human-Computer Interaction (HCI) to measure both customer Intent and Experience. For companies, this real-time behavioral data is used during the digital onboarding process to segment genuine from fraudulent customers, enabling them to maximize conversion, reduce false positives and stop sophisticated fraud.

Founded by 2 world-renowned PhDs, and led by a team of seasoned executives, we continue to make strategic key additions to our team to expand our product offerings and enter new verticals.

# Come join our team!

We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for a Data Scientist to join our team, and work on analysis and modeling.

# What You Will Do

* Research and develop ML learning models and technology to power Neuro-ID products
* Data analysis and visualization

# Who You Are

* Minimum Master’s Degree in Computer Science, Math, Statistics, Natural Sciences, Data Science, Machine Learning or related technical fields
* 1-3 years experience delivering data science projects analyzing and modeling real-world problems
* Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, etc.)
* Familiar with Python (pandas, numpy, scikit-learn etc) and SQL, experience with Snowflake and/or Looker is a plus
* Ability to adapt to a fast paced and flexible work environment

# Life at Neuro-ID:

Neuro-ID is in hyper-growth mode, and the team here has a lot of ambition. However, what sets us apart from the rest is that the culture at Neuro-ID is truly special. It just might be that once in a lifetime opportunity. And it’s not just the tech, or the market opp, it’s also the people. Our headquarters are nestled in a quiet section of Montana’s Rocky Mountains, but our distributed enterprise has the ambition to change the digital world. And we’re doing just that each and every day by up-leveling world class organizations' digital strategies for fraud and CX with behavior. We work very hard, we are very focused, and the environment is incredibly dynamic. However, we make time to celebrate and build culture. We believe wholeheartedly that the journey should be memorable, enjoyable, and meaningful, even if it’s not easy.

* Compensation: Competitive salary and equity package (Own a slice of a rocket ship!)
* Team: Remote “Connected” Workforce, quarterly culture events with regional team, functional team quarterly planning offsites, monthly all team celebration meetings, All Access We Work Cards, annual all team summits in Whitefish, MT, and MORE all in service to create a connected, but flexible workforce.
* Wellness: Healthy people are happy people! We offer comprehensive and top tier health, dental, vision, FSA, DCA, 401K, monthly wellness stipend for gym memberships, strava licenses, or really anything related to wellness.
* Education: Annual education reimbursement for an approved education purpose, course, books, podcast subscription, etc.
* Tech: Technology Station Kit: Computer (Mac or PC Choice), Monitor(s), Keyboard, Mouse, Dongles, HeadSet; Remote Work Comfort Stipend: Annual stipend to continually improve your remote work set-up
* Location: Our flagship “HQ” nestled in beautiful Whitefish, Montana with over 5000 square of office space and thousands of acres of outdoor adventure space for our remote employees to enjoy when in town for off-sites.
* Competitive PTO Policy: Recharging when you are running hard is crucial! We stress work/life balance. Our PTO policies include the entire office closure for the whole week between Christmas Eve and New Years Day for recharging prior to the New Year!

# About this Job

The Data Analyst provides consultation and investigation on NielsenIQ Product Insights (NPI) 1.0 and 2.0 characteristics with regards to definitions, coverage, category applicability and assistance as needed for Client Inquiries.  This role will work closely with internal teams to make recommendations on solutions that best address client’s needs. 

# Job Responsibilities

* Provide both internal and external consultation related to NPI 1.0 & 2.0 product characteristic coding definitions and operational processes including reporting capabilities.
* Solid understanding of overall NielsenIQ deliverables, platforms, tools, Item Coding BDPs and operational capabilities and limitations to effectively provide consultative leadership.
* Solid understanding of Label Insight NPI 1.0 & 2.0 deliverables, platforms, tools, Item Coding BDPs and operational capabilities and limitations to effectively provide consultative leadership.
* Analyze, interpret & translate client business needs for NPI data and make recommendations based on empirical evidence that solves key business issues.
* Appropriately set and manage expectations regarding NPI coding process & database capabilities with all stakeholders.
* Adaptability to changing workflows & processes in the ever-evolving landscape of delivery systems.
* Refine high level business requirements through analysis to ensure proper design; identify & discuss any constraints to design, process, or delivery with stakeholders.
* Accurately interpret business requirements to the execution team and provide consultation as needed.
* Provide visualizations to support training and explanation of the NPI data for internal operations process documentation.
* Utilize input tools and applications that automate processes and analyze data to ensure consistency, completeness, and correctness of the data.

# Qualifications

* Bachelor’s degree
* 3-5 years of experience as an Analyst; CPG or Retail preferred
* Outlook, Excel, PowerPoint, Google Drive & Sheets, Salesforce, JIRA, Postman
* NIQ’s Connect/Discover, AOD, OGRDS, Label Insight Explore Market Navigator, Trending Attributes, MS Office Suite, MS Dynamic, NIQ internal portals a plus

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

# About NielsenIQ

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population.

Excel

Salesforce

Data Analyst

We’re on a mission to get more money in the hands of more women+. We’re looking for a dedicated Senior Data Science and Analytics professional to join our team. You will work to provide the analysis and insights that can drive our decision making and strategic planning processes. 

In this role, you will be responsible for collaborating with stakeholders to develop meaningful analytical solutions that help us make decisions and tell a great story. You will also have the opportunity to build and produce scalable models to acquire members, recommend products and next steps, identify customer segments, and boost membership, user engagement, and revenue. We’re growing quickly, and we’re looking for a passionate, experienced, and outcome-driven leader to develop and grow a team dedicated to enabling our organization with analytics and insights.

# You will:

* Develop the Data & Analytics strategy, capabilities and agenda with key stakeholders; establish a long-term roadmap for providing deep business intelligence.
* Drive data-driven decisions and advance our data-focused culture. Proactively identify business opportunities and risks within the model to help the organization reach its goals.
* Collaborate with cross-functional leaders to define the metrics & KPIs that drive results, enable our teams to leverage data to improve performance, and design experiments that provide insights
* Work with stakeholders across the business to develop requirements and data models that support business initiatives.
* Build data-based tools and models for continuous product performance monitoring and optimization
* Build and develop machine learning models to make the product more dynamic
* Research & implement new statistical or other mathematical methodologies as needed for specific models or analysis
* Maintain high quality reporting /dashboards that present insights derived from data across the organization.

# You have:

* At least 6+ years of professional data analysis/business intelligence experience
* Creative thinker on both a strategic and tactical level, with a strong bias to action.
* Self-directed, ambitious, team player, and a strong communicator
* Extensive background in data mining and statistical analysis; excellent pattern recognition and predictive modeling skills
* Significant experience in manipulating data including use of SQL queries, API calls and ETL methods
* A degree or professional experience in applied mathematics, statistics or computer science 
* Experience working with data visualization or business intelligence tools (Tableau, Chart.io, Metabase etc.)
* Passion for our mission

# Do you think you could thrive in this role?

Please send us your application — even if you don’t check every single box. No two people’s career paths look exactly alike, and skill sets come in many different forms. We can’t wait to hear about yours.

# About Ellevest

Ellevest is a fast-growing, venture-backed financial services start-up built by women, for women. Our mission is to get more money in the hands of women, no matter where they’re starting or how far they’ve come. We started by building the only gender-aware online investing platform that takes totally un-ignorable realities (like pay gaps, different salary curves, and women’s longer lifespans) into account. Then we added banking, learning, and money and career coaching services for Ellevest members, plus a full-service private wealth management service that helps high net worth people, families, and institutions align their financial power with their values.

Ellevest was co-founded by Wall Street veteran Sallie Krawcheck after she realized that the financial services industry was built by men, for men, systemically leaving women behind. During her Wall Street days, she served as CEO of Smith Barney, CEO of Merrill Lynch Wealth Management, and CFO of Citi. 

# Working at Ellevest

Ellevest was founded in New York City, but today, our fully remote team is spread across the whole United States. As a member of the team, you can expect to do work that directly impacts our mission and the lives of real women every day.

Data shows that diverse teams are more innovative, make better decisions, and lead to greater employee engagement. When hiring, we look for culture add, not culture fit. That means hiring people who bring new perspectives and different experiences to our team. 

We’re also dedicated to building a work environment where everyone on our team can grow and thrive, with flexible working hours and time off; remote work policies designed for transparency and effective cross-team collaboration; ongoing team building and professional development; and more. 

Tableau

We are looking to add a certified Data Analyst to our team who will help us turn data into information, gain insights, and develop business decisions based on the analysis results. This individual reports to the CTO and will deliver meaningful analysis of our consumer's experience. The Data Analyst is part of the engineering team and is primarily responsible for analyzing data and producing reports, graphs, and charts utilizing SQL and modern BI Tools. Additionally, the Data Analyst will participate in engineering projects to ensure relevant data is captured within all systems.

# Data Analyst responsibilities are:

* Using data mining to extract information from data sets and identify correlations and patterns.
* Organizing and transforming information into comprehensible structures.
* Using data to predict trends in the customer base.
* Interpreting data, analyzing results using statistical techniques.
* Using BI tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs.
* Preparing reports and presenting these to management and or clients.
* Communicating with stakeholders to understand data content and business requirements.
* Monitoring data quality and removing/correcting corrupt data.
* Acquire data from primary or secondary data sources and maintain databases/data systems.
* Technical expertise regarding data models, database design development, data mining and segmentation techniques.

# Data Analyst requirements are:

* 2 - 5 years of reporting or data analytics experience or experience working in a Data Analyst or Business Data Analyst position
* Significant experience of working with data models, database design development, data mining and segmentation techniques
* Proficiency in SQL, QuickSight, databases (Postrgres, MySQL) is required
* Proficiency in Office Suites and various other business applications
* Experience with writing ETL scripts in Python
* Experience with customer data platforms (CDP) such as Segment, AppsFlyer and Google Analytics is a plus
* Excellent knowledge of statistics and experience using statistical packages for analyzing datasets, including Excel, SPSS, SAS, etc.
* Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
* Adept at queries, report writing, presenting, and verbal communication skills
* Ability to operate effectively as part of a project team or individually
* BS Degree in Mathematics, Economics, Computer Science, Information Management or Statistics is a plus but not a must.
* Option to be fully remote but must be able to work during normal business hours

# Benefits:

* 401(k)
* 401(k) matching
* Dental insurance
* Disability insurance
* Flexible spending account
* Health insurance
* Health savings account
* Life insurance
* Paid time off
* Referral program
* Retirement plan
* Tuition reimbursement
* Vision insurance

North America

MotorK is the leading sales and marketing technology company in Europe, specialized in the automotive sector. At MotorK our mission is to empower manufacturers and dealerships to sell more with innovative, cloud-based products and services to offer the best digital customer experience.

We are on a fast and ambitious trajectory and serving 90% of the automotive manufacturers. To continue our growth, we are hiring new talents. If you want to spark the future of the automotive world, join us.

# What we believe in

We have five core values to live by and they make MotorK an amazing place to work.

* Innovative: we will transform the automotive marketplace
* Growth: we play on the global stage and we set ambitious goals for our people and products
* Passionate about our customers: we live & breathe Automotive, we're committed to long-term customer relationships, we win when our customers win
* Family spirit: we trust, support and respect each other, working together toward shared goals
* Do the right thing: we champion diversity & equality in our teams, we conduct ourselves with integrity and keep our promises

We are looking for a Data Analyst to start immediately as a part of our Product Analytics team. You will play a key role in setting the direction of product development supporting Heads of Product and Product Managers in making data informed decisions on the future of our platform.

# Role mission

As a Data Analyst you will be a part of the Product Development organisation and you will deep dive into the world of users’ data and face various analytical challenges, from setting up continuous monitoring of the product performance to providing unique insights on user interactions with the product. You will be able to get familiar with the product development process and help shape the future of the product, test and validate hypotheses, find product bottlenecks, suggest solutions, implement data tracking and see the real impact of your work on the business.

# Key responsibilities

As a Data Analyst you will be a part of the Product Development organisation and you will deep dive into the world of users’ data and face various analytical challenges, from setting up continuous monitoring of the product performance to providing unique insights on user interactions with the product. You will be able to get familiar with the product development process and help shape the future of the product, test and validate hypotheses, find product bottlenecks, suggest solutions, implement data tracking and see the real impact of your work on the business.

# Requirements

* 3+ years’ demonstrated and relevant experience in Analytics
* Bachelor’s/ Master’s degree in computer science, mathematics, IT, or related field
* Ability to work with unstructured data (often Big Data)
* 3+ years’ experience with SQL
* Ability to proactively gather and understand complex reporting requirements
* Ability to present insights in a concise and clear way to non-technical audiences
* Proficient in English

# Desired

* R/Python programming language
* Prior experience in Product Analytics
* Outstanding data visualisation skills
* Experience with data integration, ETL solutions
* Understanding of statistical analysis and experience with A/ B testing will be a plus
* Solution-oriented mindset and outside of the box thinking
* Ability to work independently in an unstructured environment

# Benefits

* Multicultural environment
* Fully remote and distributed teams
* Flat hierarchies, fast decision-making processes and an inspiring work environment
* Personal development budget
* Competitive salary

Big Data

The world runs on open source, and projects need more than a version or source control system to scale. The Linux Foundation has evolved a proven methodology to transform projects into category leaders. LFX operationalizes this approach, providing a suite of tools built to facilitate every aspect of open source development. Critical projects must have their finger on the pulse of their entire developer ecosystem, with tools tailored to key stakeholders driving project development, including maintainers, contributors, community managers, marketers, and more.

Prefer experience working with one or more of these technologies:

* AWS
* Serverless Framework
* API Gateway
* CICD Pipelines (CircleCI / Gitlab CI / Jenkins)
* Data Engineering
* ML Engineering
* MLOps

Must have solid experience in following areas:

* Data Science and Engineering
* Experience with large-scale data frameworks such as Spark, Hive, or Hadoop
* Proficiency in SQL and programming in Python or R 
* Strong coding experience. Experience with open-source ML packages (specifically sklearn,           
* TensorFlow/Keras/PyTorch)
* Experience in Recommendation Systems, Personalization, Search, or Deep Learning
* Building web-scale parallel and distributed computing systems (optional)
* Strong background in math, statistics, or numerical computation
* AWS experience

# Qualifications

* Bachelor's Degree in Software Engineering, CS (or similar field), or equivalent with 5+ years of relevant experience
* Strong familiarity with SQL and data modeling concepts, in either a relational or data warehousing context.
* Expert at building performant data pipelines and optimizing existing workflows using Hadoop, Spark, Pig, Hive, Presto, Trino etc.
* Experience in Python/Golang/Node.js to write automation
* Experience with AWS including strong expertise in managing EMR
* Understanding/experience of CI/CD, and various other DevOps tools
* Experience working on Cloud Infrastructure and SaaS Products

# Additional Information

The Linux Foundation is a largely all-remote workforce that hires top-notch talent.  We are as passionate of providing a flexible and supportive work culture as we are in Open Source Software.  Collaboration is in our DNA, and we pride ourselves on being able to work closely together while not being tied to an office.  We offer exceptional benefits - e.g., Fantastic health care, Unlimited PTO, 100% 401k match, profit-sharing, and exceptional healthcare plans.

TensorFlow

We’re growing our team at Artifact so we can entrench our product market fit, build scalable and delightful products, and get them into the hands of the right qualified customers. Artifact helps teams centralize qualitative data into a single source of truth, and uses advanced but proven AI methods to synthesize actionable insights so they can instantly understand what’s most important to their customers.

Artifact is looking for data scientists and NLP researchers at various skill levels to join our growing team.

This is a full-time role that can be held from one of our US hubs or remotely in the United States.

# Key ML focus areas:

* Natural language processing
* Natural language understanding
* Knowledge Graphs and Graph Neural Networks

# What you’ll do at Artifact:

* By using massive amounts of historical and realtime qualitative data, you will help research, develop and automate models for semantic understanding, text similarities, clustering, sentiment and emotion, and expressive summarization.
* One example: Build / Enhance our end-to-end solution that analyzes historical customer conversations and answers user questions as a summarized insight. Beyond answering, allow the user to facet and pivot the data while updating the summary insight dynamically.
* Work with product management and design roles to understand and empathize with end customer needs.
* Build end-to-end ML solutions spanning from data access (SQL) to model endpoint (API / batch service) and deploy to cloud based staging environments (Kubernetes on GCP) by collaborating with software engineers.
* Collaborate with our academic partners and research new ML techniques / enhancements and publish blogs or journal / conference papers.
* Open source code or software that will benefit the larger community of ML practitioners.

# We'd love to hear from you if you:

* Have solid fundamentals in approaching and solving ML / DS problems. Think: "data source", "data lineage", "data transformation", "data age and relevance", "model consumption", "post consumption action" etc.
* Lean toward action and experimentation with a priority towards rapid prototyping.
* Approach problems from a first principles mindset and question assumptions.
* Have dived deep and spent a good amount of time solving "one" ML problem.
* Are naturally curious and willing to take a step to learn something they don’t have experience in.
* Have experience with SQL, Python, NLTK or Spacy or other NLP libraries, PyTorch or JAX or TensorFlow. DGL and data visualization experience is a plus.

# Experience Bonus:

* Masters Degree or PhD in Computational Linguistics, Engineering, Statistics or related field
* Previous experience/education in syntax, semantics and morphology
* Experience with semantic understanding and summarization of short phrases across a heterogenous corpus.
* Experience collaborating with software development teams, data scientists, business intelligence or other technical roles

# Artifact Memes (How we behave at work...)

* Transparently documented communication: we leave documented breadcrumbs in every decision we make so that those we collaborate with in the future have the necessary context, and can adequately support us in future decision making.
* Tiny, frequent, and constantly kept agreements: every single day, we break down initiatives into tiny agreements we make with our team that we are 100% certain we can keep.
* Strategy before story telling: before we build narratives for our vision and initiatives we prioritize the process of establishing what we’ll do next, why that is the correct thing to do next, and identify risks and trade-offs.
* Focus on good decision making and long-term results: we believe strongly that you ****are not the results of a single decision, nor do the results of a single decision deride your ability to make sound decisions. We are long, bullish, and team You— and focus on the results of consecutive intentional decisions.
* Systems thinking: we have seen most objective-result organizational behaviors result in fleeting meaningless goals. Rather than a goals-based mindset, we ask you to develop an outcomes-based and diagnostics-based mindset.
* Establish clear lines of responsibility: Document what you're trying to accomplish, why you're trying to accomplish it, and who will be responsible for specific initiatives.
* Practice proactive accountability: we ask you to practice introspection and proactively assume accountability for your decisions.
* Remove your ego: when your ego is involved you become so internally absorbed that it's difficult to level-up and see what's happening and how you're behaving. Check it at the door.
* Work cross functionally: We don’t tolerate, support, or allow employees, teams, or departments to prioritize job descriptions over the success of the business. We are building a business. We are not here to build a pipeline, close opportunities, design products, or write code or algorithms. We are building a business. Work together to accomplish this outcome.
* Identify risks and assumptions: be honest and self aware with yourself and your team about what you don’t know. Assess your risks. Identify what you need to learn. Then dive in and do your best work.

This is a remote position available across the European time zones.

Are you solution-driven, highly organized, and passionate about using data to have a concrete business impact? Do you have experience in data analysis, business intelligence, a proactive attitude, and enjoy working in a fast-moving environment? Then you may be our new Data & Analytics Lead!

BrandBastion transforms the way brands deal with social engagement. Our proprietary technology automates the management of millions of social interactions every day while maintaining the personal quality of one-on-one conversations.

Your mission will be to creatively identify product opportunities and lead our analytics team in all its aspects, from defining our data roadmap to managing day-to-day operations within our data stack in a way that delivers value to BrandBastion's clients.

To do this you will get to work with social media content and advertising data from some of the world’s leading brands.

# WHAT YOU WILL DO

* Leading a growing team of data minded people, from data analysts to data engineers (6 team members)
* Contribute in designing and owning the data roadmap for the organization. This will include defining strategic projects and then owning their successful delivery
* Interface with all business facing teams regarding any client data needs
* Acting as a data product owner within our SaaS solution to propose new features and plan their successful delivery.

# REQUIREMENTS

* Project management experience with a demonstrated track record of owning all sides of a data project
* Python native speaker
* Interest in managing people and growing the team according to business needs.
* Experience in automating reporting and building a business intelligence stack able to accommodate different needs.

# Bonus Skills

* Experience building analytics products in a cloud based environment
* Has worked in a data role within the context of social media or adtech

# BENEFITS

* You can work fully remotely from any European location
* 4 weeks of paid vacation annually offered to all team members
* Join a growing company operating in a new exciting industry
* You will be immersed in the forefront of social media technological innovation

Social media

Data Analytics Lead

Nearmap is unique. A global technology company with incredible people; a market-leader with energy and spirit. Nearmap was named as one of the world’s 10 Most Innovative Companies of 2020 by Fast Company magazine – and we’re growing.

If you join us on this exciting journey, you’ll love our inclusive values and share our ambition to become the source of truth that helps shape decisions for the livable world.

# What we do

We provide easy, instant access to high-resolution aerial imagery, city-scale 3D content, AI datasets and integrated geospatial tools, with wide-scale coverage across the USA, Canada, Australia and New Zealand. At the core of it, we’re a location content company, a visual analytics company, and a software as a service company. Innovation is weaved into our DNA.

# Job Description

The Data Analyst will be the go-to analytical talent for our North American business - gathering, integrating and developing various data & analytics products to be utilised for internal decision making. The analyst will be a key member of our global Data & Analytics unit, playing a generalist role in various analytical constructs such as data collection (measurement), metric and KPI formation, deep-dives and troubleshooting, and developing data products such as Verified/Quality Data, Analytics Dashboards and Data Activations. Their strategic focus will revolve around strengthening our Data Strategy and ensuring Nearmap is match fit across all aspects of the data value chain.

# A typical day for you may look like this...

* Working closely with the Commercial Operations team, develop a range of data and analytics products to help answer business questions in relation to the drivers of performance
* Engage with internal stakeholders to bring transparency to performance of key metric trends in the North American business
* Identify data gaps and opportunities in support of creating scalable models
* Peer review our current tracking methodology across a range of underlying systems (Web events, Marketo, Salesforce, CX and other execution tools) to ensure we have a comprehensive data capture framework
* Acquire accurate and sufficient data from resources, internal and external required to solve the business problem
* Act as a first port of call for our North American business with all things Data & Analytics
* Able to comfortably report back on findings, facts and other descriptive analytical outputs
* Validate existing and develop new business hypotheses via a broad spectrum of data analysis techniques
* Convey meaningful insights via effective display of data analysis outcomes
* Leverage existing tools to allow us to explore data in new ways
* Able to present and communicate the technical results to non-technical and other internal stakeholders using presentation tools e.g. PowerPoint etc.
* Contribute towards the development of our Data Strategy by seeking regional input
* Deliver on Data Strategy by developing a ‘data as a product’ mindset – and think strategically about the end-to-end data value chain
* Business Analytical skills, provide insight to execute reporting needs.

# What we are looking for...

* Undergraduate degree in a field linked to business, analytics, or commerce with plenty of coursework on data analytics
* 3+ years relevant industry experience, ideally as a general Data/Reporting Analyst (end-to-end) within a B2B SaaS environment
* Preferred experience working closely and supporting the Revenue/Marketing Operations workstreams
* Experience in calculating, analyzing and troubleshooting key B2B SaaS metrics groups such as Volume (prospect, Lead, MQL, SQL etc.), Conversion (first, second, third etc..) and Temporal (Velocity, Activity timestamps etc.)
* Generalist Business and Data Analysis
* Exceptionally well constructed data analysis and visualizations that tell a compelling story
* Excellent written, visual, and verbal presentation skills
* A team player, someone who values a great team culture

Familiarity with a broad base of analytics tools, processes & languages:
* Data visualization: e.g. Looker, Tableau, Mode etc.
* Data warehousing: e.g. Snowflake, RedShift etc. (able to write complex SQL queries to access data from DW etc. where needed)
* Web analytics implementation experience a plus (e.g., client-side, server-side etc.)

# Some of our benefits

Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Our current benefits include access to the Nearmap employee share scheme, short and long-term financial incentives, flexible working options, paid volunteer days, gym and phone rebates, and lots of development opportunities including hack-a-thons and pitch-fests.

# Working at Nearmap

We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.

If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.

Snowflake

SaaS

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.

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!

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.

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!

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

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)

# 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.

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