Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are looking for a Data Scientist, who will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services to add to our team.

# Key Responsibilities

* Work on the latest applications of data science to solve business problems
* Effectively communicate the analytics approach and how it will meet and address objectives to business partners
* Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers
* Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products
* Collaborate, coach, and learn with a growing team of experienced Data Scientists
* Stay connected with external sources of ideas through conferences and community engagements
* Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools

# Requirements

* 8 - 15 years of Data Science experience required
* Bachelor's Degree in Data Science, Computer Science, or a related field
* Ability to apply various analytical models to business use cases (Supervised, Unsupervised, Neural Nets, NLP etc.).
* Comfortable working in remote setup in Mexico
* Ability to apply various analytical models to business use cases
* Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
* Bias for action, with the ability to deliver outstanding results through task prioritization and time management

# Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Analytics

Machine learning

Mexico

Lead Data Scientist

* Reports to: Director of Product and Insights
* Pay rate: $60/hour on a 10-15 hour project basis
* Deadline for applications: April 14, 2024

The News Revenue Hub is seeking contract data analysts to aid in ongoing Google Analytics and Parse.ly data analysis. 

These data analysts will help newsrooms work with their audience data, identifying and highlighting metrics that help them move the needle on audience growth, loyalty, donations, and other key performance metrics. Data analysts will be experts at configuring and gathering audience data from sources like Google Analytics and Parse.ly, and translating it into benchmarks, strategies, and actions. The opportunity to work with dozens of newsrooms is one of many unique benefits to working with the Hub. 

The News Revenue Hub is a mission-driven 501(c)3 nonprofit organization dedicated to helping news organizations achieve greater financial sustainability. We help our members implement fundraising models and audience strategies to cultivate sustained, loyal readership.

# As a data analyst, your chief responsibilities will include:

* Pull and clean site traffic data by audience segment, referrer source, and site sections to identify trends and patterns from Parse.ly and Google Analytics
* Create traffic and loyalty analyses on audience behavior and engagement trends to help inform newsrooms' editorial and audience strategies
* Craft recommendations for newsroom leadership on where to further invest time and resources in to boost organizational goals
* Analyze topic and category performance by audience segment and reader behavior to identify common behavioral trends
* Transform data into deliverables such as reports and slide decks for nontechnical audiences

# The ideal candidate will have:

* Proven experience with Parse.ly, Google Analytics (or similar) and data analysis using Google Sheets or Excel
* Experience and familiarity pulling and cleaning website and content analytics data for granular analysis 
* Understand the business logic of how newsrooms sort and categorize traffic data by article and site sections 
* A high degree of integrity and discretion; must be willing to sign a nondisclosure agreement
* Skill in analyzing and visualizing data, drawing actionable insights, and communicating strategic tactics informed by data to non-technical audiences
* Experience working in a newsroom and communicating with stakeholders like editors and senior newsroom leadership 
* A passion for being analytical and detail oriented on not just reporting data, but also surfacing themes around key trends and results

# Additional skills desired, though not required:

* Preferred data management and programming skills include Python and SQL
* Experience with data migrations and QA is helpful but not required

# About News Revenue Hub 

We are a 501(c)3 nonprofit organization that works with news outlets to develop stronger business models and more loyal audiences. We help our clients become sustainable, allowing them to fight misinformation, keep the public informed, and hold elected leaders accountable. We provide a robust technology infrastructure specifically designed for journalism fundraising, along with customized strategies for audience and membership and donor development.

We work with over 60 news organizations and have had the opportunity to work on projects with big impact. Our approach to sustainability is holistic and we work closely with editors and audience strategists as we do with membership officers and fundraisers.  

News Revenue Hub works with news organizations to implement fundraising models, automate time consuming processes, conduct experiments, adopt best practices, and more. Our mission is to help newsrooms achieve financial sustainability and take on the heavy lifting so our members can focus on what they do best: producing high quality journalism.

Data Analyst

Rewiring America is the leading electrification nonprofit, focused on electrifying our homes, businesses, and communities. We develop accessible, actionable data and tools, and build coalitions and partnerships to make going electric easier for households and communities. Rewiring America helps Americans save money, tackle nationwide emissions goals, improve health, and build the next generation of the clean energy workforce. We believe in an abundant, flourishing, climate-safe future, and know that, together, we can realize one.

# Position Summary

We are growing our team and seeking an entrepreneurial Data Science Manager to join our Data Science team, whose work supports all aspects of Rewiring America’s mission by precisely and accurately estimating the upfront and ongoing costs and benefits of electrifying the fossil fuel machines in our homes. This position reports to the Senior Director of Data Science.

In this newly-created position, the Data Science Manager is principally responsible for the growth, product, and health of the Data Science team. The impact of this work will be immense. The Data Science Manager plays a pivotal role in helping low income and disadvantaged communities benefit from electrification by connecting households to billions of dollars in existing government and private funds, helping secure below market rate financing, and determining the optimal mix of upgrades for a home to reduce energy bills. We will further use the team’s outputs to drive down the cost of electrification through carbon and health impact investing and to identify new opportunities for additional funding and policy.

# What You’ll Do

You will be a people manager and technical leader responsible for growing and nurturing a cross-disciplinary team tackling the hardest challenges in electrifying people’s homes. You will partner with teams across the organization to develop a clear-eyed understanding of the challenges to electrification and develop bold solutions to make electrification the default option. As an experienced people manager you will have a dedication to helping everyone on your team grow and meet new challenges.

# Team development

* Mentor an ambitious and high-powered team with diverse skills, helping them to grow and to perform as more than the sum of their parts.
* Help develop resourcing plans, career ladders, and development plans for the team.
* Connect people on the team to internal stakeholders and external experts.

# Product development

* Seek out and document the challenges to electrification and how the team’s outputs can make electrification easier and more affordable.
* Work with partner teams and organizations to define capabilities and requirements, including insights that facilitate the deployment of funds to lower the cost of electrification.
* Center equity in the team’s work and collaborate with internal experts to understand and internalize the needs of the communities we serve.
* In coordination with the Senior Director of Data Science and leadership, design strategy and define our tactics to meet Rewiring America’s ambitious goals.

# Technical excellence

* Find, explore, and process new data sources that power the team’s models and help tell the story of electrification.
* Be responsible for how we train, test, deploy, monitor, and improve models and insights that capture the ongoing and changing costs and benefits of electrification.
* Over-communicate the capabilities and limitations of the models and insights we produce to generate a clear-eyed assessment of what more needs to be done.
* Proactively identify challenges that consumers and communities face in electrifying and how we might use data to overcome those challenges.
* Maintain excellent documentation; we are building tools to power the ecosystem and documentation will be critical to that end.

# Who You Are

As a Data Science Manager you have excellent communication skills and a strong desire to learn from and teach others. Your instinct is to use the simplest solution that will get the job done, taking on complexity only as needed. And you are driven by a commitment to Rewiring America’s . 

Your work will have an immense impact on historically disadvantaged communities and our ability to reach our climate goals. With this comes a tremendous responsibility that you will meet with humility and empathy for the communities we serve. The successful candidate demonstrates enthusiasm for making electrification easy, and models excellence and integrity in all they do. The selected candidate will also possess the following Core and Preferred qualifications and characteristics:

## Core

* Strong commitment to the mission, policies, and goals of Rewiring America.
* Experience as a tech lead, mentor, or manager.
* Collaborative and communicative work style.
* 5+ years experience owning the development and deployment of machine learning models that solve business problems.
* Development experience with Python, Spark, MLlib, TensorFlow, or similar tools.
* Demonstrated communication ability across formats with skill in delivering information in a concise and compelling manner.
* Ability to scope work to meet high-level objectives and independently communicate status updates.
* You enjoy collaborative code and methodology reviews and can provide thoughtful, constructive feedback to peers.
* Demonstrated positive impact on the overall health and productivity of the groups you work with.

## Preferred

* Experience architecting, owning, and deploying end to end machine learning pipelines.
* Bachelor’s or advanced degree in science, engineering, economics, or social science or equivalent experience.
* Excellent references demonstrating a strong track record in building machine learning models and communicating with data.
* Content knowledge in climate, renewable energy, and/or building electrification.

# Benefits

The salary range for this position is $160,000 - $190,000 USD, commensurate with experience. Comprehensive benefits package that includes 100% employer-paid health, dental, and vision insurance for employees (and their families). Employees are able to enroll in 401k retirement plan and are eligible for a 3% automatic contribution and up to a 3% employer match on 401k contributions. Employees are also eligible for pre-tax transportation benefits. Employees will receive 160 hours of vacation time, 80 hours of health leave, up to 2 days of casual leave, and 20 hours of volunteer leave annually. Employees will also receive 13 paid holidays throughout the calendar year (15 days during Presidential and Congressional elections). We have an office closure between Christmas and New Year. Employees are eligible for 12 weeks of paid family and medical leave after 90 days of employment. Regular, full-time employees and part-time employees are eligible to take up to sixteen weeks of parental leave, in all cases related to birth, adoption, or foster care starting from the first day of employment. We offer access to professional development resources.

Data Science Manager

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic. 

Advertising is Reddit’s primary revenue driver 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. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Ads Platform product team on launching new products to improve the Advertiser experience creating & managing campaigns on Reddit. You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to improve the advertiser experience.  

If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place. We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.

# How You'll Have Impact:

* Partner with the product engineering team working on the Ads Platform. Providing thought partnership on products like the Reddit ads manager, advertiser API, & advertiser onboarding. 
* Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
* Drive product-oriented research projects to identify new opportunities for the Ads Platform team to pursue
* Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the ads organization.
* Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

# Responsibilities:

* Act as an owner by partnering with the Ads Platform team on product development
* Become an expert on the advertiser experience at Reddit - designing & analyzing experiments to test improvements to our platform
* Build KPI reporting & ETLs to track the performance of Reddit’s Ads Platform team 
* Learn how Advertisers interact with the Reddit platform and research how their experience could be improved 
* Collaborate with Product Marketing Managers to develop go to market strategies and drive product adoption
* Partner with the Ads Engineering team to understand new data & schemas and ensure the data we log in new products is accurate

# Required Qualifications:

* 5+ years of experience in data analytics or related quantitative role
* Influence and guide product strategy with data
* Able 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)
* Experience in online advertising & ads marketplaces

# Benefits:

* Comprehensive Health benefits
* 401k Matching
* Workspace benefits for your home office
* Personal & Professional development funds
* Family Planning Support
* Flexible Vacation (please use them!) & Reddit Global Days Off
* 4+ months paid Parental Leave
* Paid Volunteer time off

Staff Data Scientist

We’re the world’s first tech platform for flight-free holidays. We help people love their journeys, and are proud to be a certified B Corporation. Founded in March 2020, we've booked over 5,000 people onto flight-free trips with 97% five star reviews, and regularly appear in mainstream press from the Times to the Guardian. We’re growing 4x year on year, and have no plans to slow down until flight-free travel is mainstream.

# Job Description

We’re looking for a Data Scientist

We're seeking an experienced and versatile Data Scientist. Leverage your expertise in machine learning, data interpretation, and product analytics to enhance our innovative trip planning systems and help shape our product vision and strategy.

Our trip planning technology is complex and innovative, but there’s huge potential to optimise its output, learn based on user interactions, and augment its functionality and content using some of the latest AI tools and advances. You'll play a key role in guiding our product and business teams towards a more data-informed approach, helping our strategy and product development become increasingly led by the data we're collecting as we grow. 

# Your key responsibilities

* Model Development: Design and implement machine learning models to tackle ambiguous problems, improve our trip planning engine, optimise content, and optimise our processes. Examples: the algorithms used in our trip planning are broadly deterministic - how can we learn from user feedback and improve future results with ML? How can we suggest the most relevant places, activities and accommodations on our site given a user's interactions so far? How can we predict the value of customer enquiries so we can deal with the most valuable first?
* LLM implementation: Use LLMs and related tooling to improve our tech stack. From concierge and customer support conversations, to augmenting and growing our rich travel databases to build better trips, there are a significant number of opportunities where we would like to harness the power of LLMs to turbo-charge our operations and technology. 
* Driving strategy with analysis: Understand and influence Byway's business objectives by driving analysis - whether simple or complex. Work with Byway's product analyst to ensure we have the right metrics and dashboards to drive company growth and success. Ensure the product and customer support teams are well-informed and supported in their decision-making through insightful and meaningful analysis, with clear, actionable and well-communicated insights for both technical and non-technical stakeholders.

# What we’re looking for

* Proven Experience: significant experience in data science, with a strong portfolio of projects that demonstrate your skill in both machine learning and product analytics.
* Technical Proficiency: Expertise in data analysis tools (e.g., Python, R), machine learning techniques, and familiarity with BI/dashboard tooling.
* Product Mindset: Strong understanding of product analytics, with the ability to derive meaningful insights from user behaviour and product data.
* Excellent Communication Skills: Exceptional ability to communicate strategic and technical concepts to a diverse audience, and translate business needs into technical requirements.
* Startup Mentality: Curiosity, adaptability, and a willingness to contribute wherever needed in a high-growth startup environment.

# What would be great (but isn’t required)

* Experience working with startups or in high growth environments
* Experience working with agile technology teams and processes

# What we offer

* £65,000 - £75,000 p.a. depending on experience
* Company ownership through equity
* High spec laptop, tools, second screen, docking station, accessories
* Remote-first, flexible working:
* 20 days wherever: work when you like and where you like for most of the month - we’ll fund a day a week in a coworking space
* 2 days together: join our team in the London office two days each month (a couple of exceptions per year is fine!)
* One cost-price Byway holiday per year and agency rates with Eurostar for you and your family/friends
* An annual autumn Away Afternoon and optional Weekend Away in spring

Data Scientist

Komoot is an app that lets you find, plan, and share adventures with its easy route planner. Driven by a love for nature and powered by the outdoor community’s recommendations, komoot helps you explore more of the great outdoors—wherever and however you want. And we're good at it. Google and Apple have listed us as one of their Apps of the Year numerous times. Today, with over 37 million users and 300,000 five-star reviews, we are well on our way to becoming the most popular app for finding, planning, and sharing adventures worldwide.

Join our remote-working team and start your adventure with komoot.

# About the role

Join a brand new, motivated team of four to develop algorithms that generate Tours users can take as templates for their outdoor adventures. With our extensive utilization of user-generated content, we extract and distill the knowledge of the outdoor community to create these templates algorithmically. We’re leading the field with our novel approach and with your help we’ll take it to the next level.

Do you like to submerge yourself in difficult problems (and this is really difficult, we promise) and find simple and elegant solutions? Can’t wait to prototype and benchmark them with alternative solutions? Are you not content until you’ve implemented an idea and shipped it to users? If this sounds like you then you’ll thrive in our team.

In this role, your work will be central to helping millions of people find an unforgettable adventure in the great outdoors. This is a full-time (40hrs/week) role and can be done from any location within the UTC-1 to UTC+3 timezone.

Ready for your next adventure?

# What you’ll do

* Analyze and visualize internal and external (geospatial) data to derive insights and opportunities
* Discuss, exchange, evaluate, and challenge ideas with your teammates
* Devise, prototype, and systematically evaluate data solutions and algorithms
* Work on data problems that cannot be solved using traditional data science and machine learning techniques
* Contribute towards turning proof of concepts into well-crafted and tested production code
* Develop short and long-term roadmaps with your team

# Why you will love it

* Your work will contribute to helping millions of people enjoy lovely outdoor experiences.
* We’ve been a remote-working company since 2017, meaning: We are remote by default, have frameworks and systems in place, and know how to do it well.
* You’ll become an essential part of our diverse and international team with colleagues based in 15+ countries across Europe.
* 38 paid days off (inclusive public holidays) – you are free to take those days whenever it suits you, including a well-deserved winter holiday break.
* We love seeing people grow. That's why each team member gets €2,000 and 3 additional days to spend on professional development each year. Classes, conferences, books – your choice!
* Costs covered for your co-working space membership or your work-from-home office setup and the latest devices and equipment to do your best work.

# You'll be successful in this role if you

* Are highly self-driven, responsible, and keen to learn and improve
* Are a strong team player and a strong communicator
* Have a passion for finding creative solutions and validating their merit
* Have 3+ years of professional experience in data science (model building)
* Have professional experience in writing clean, tested and documented python code (e.g. for a REST API)
* Have knowledge in and excitement for math, statistics, machine learning, and data visualization
* Appreciate the outdoors, nature, and being active
* Bonus: Have knowledge of GIS
* Bonus: Experience in applied research

Not sure if you meet all requirements above? Don't sweat it – if you think you're the right person anyway, we'd love to hear from you!

# Curious about how we work?

* Core Communication time between 10 am - 3 pm (Berlin Time). We know people have different lifestyles, which is why we have flexible working hours with core time for synchronous interaction. You can organize your workday in the way that best suits you, your family, and your needs.
* We work on a project basis in cross functional teams to ensure that we collaborate on our goals, move forward smoothly with open lines of communication, and achieve results as a team.
* Every Monday morning, we have a whole-company presentation where you hear about projects across the business, inspire each other, and share great work.
* We connect in-person at three whole-company gatherings each year in beautiful locations. You can check out this playlist to find out more about how we stay close while being remote.
* We use tools like Trello, Slack, Miro, Zoom, and Google Drive on a daily basis to stay connected, collaborate easily, and manage projects.