Data Scientist - Analytics
San Francisco, CA
Twitch
Twitch is an interactive livestreaming service for content spanning gaming, entertainment, sports, music, and more. There’s something for everyone on Twitch.About Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Team
Twitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform.
About the Role
Data is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with your team, shaping the way product performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team.
As part of the Community Health team at Twitch, you will work directly with product teams to support the safety and well-being of our creators, viewers, and moderators. You will help shape the way we build operational processes, delivering formative insights about the health and safety of our communities, measuring the impact of product improvements and policy changes, and charting a course for future product design and strategy. In a typical week or month, you will contribute to instrumentation, dashboard/report-building, metrics reviews, and ad hoc analysis. You will report to the Data Science Manager for Community Health and Customer Trust and your work will pave the way for high-quality, high-velocity product development that will lead to safer, more rewarding community interactions across the platform.
You Will:
- Become a domain expert in the design of product features to support safer and more rewarding interactions within online communities.
- Distill ambiguous product or strategy questions, find clever ways to answer them, and to measure the uncertainty; translate product and strategy questions into metrics, and work with data engineers to dashboard these metrics.
- Design and evaluate A/B tests and experiments to measure the effectiveness of front-end product improvements and algorithmic machine learning systems.
- Produce ad-hoc reports and insights that help teams move forward with time-sensitive product and strategy decisions.
- Maintain a culture of high-quality output and engagement with team members; communicate technical information to technical and non-technical partners; manage ad hoc requests and unexpected obstacles.
You Have:
- BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience
- 3+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Expert SQL skills and proficiency in Python/R
- Experience using data to create insight, drive business decisions and influence leadership
Bonus Points
- MS/MA or higher in Analytics, Data Science, Computer Science, Mathematics, or a related technical field
- Experience in a data science team working on customer software products, analytics, and insights
- Experience working with software development and operational event data
- Familiarity with Twitch, either as a viewer or creator (or both!)
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
Job ID: TW8690
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
US Pay Per Year$125,500—$212,800 USD
Tags: A/B testing Computer Science Data analysis Machine Learning Mathematics Privacy Python R SQL Statistical modeling Statistics Streaming
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Signing bonus
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