Job Information
Amazon Data Scientist - Analytics in San Francisco, California
Data Scientist - Analytics
@ Twitch San Francisco, CA
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 Twitter , 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 g 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.
For this role, we're looking for an experienced product data scientist who will help develop the strategy and evaluate/improve product initiatives within our Creator product team. You will be responsible to define and track KPIs, design experiments, evaluate A/B tests, implement data instrumentation, and inform on investment. Our ideal candidate is a "full-stack" data powerhouse who uses data to drive decision making to make the best products for our creators and their communities. Your input will be core to decision making across all major product strategies and initiatives that our team builds. You will work closely with product managers, technical program managers, engineering, data scientists, and organization leadership within and outside of the Creator organization.
You Will:
Inform product strategies by defining and updating core metrics for each initiative
Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders
Evaluate and forecast impact of product features on creators, viewers, and the entire Twitch ecosystem
Design A/B experiments to drive product direction with iterative innovation and measurement
Drive the team's analysis roadmap and prioritize the most valuable projects
Tackle complex and ambiguous analytic projects, resolve ambiguity and accurately identify the trade-offs between speed and quality and apply or route work as necessary
Dive deep into the data to understand how creator and viewer behaviors change with the evolution of our product
Act as our team's thought leader on best practices and move towards long-term vision of sustainable and thriving data processes
Own data collection and product instrumentation implementation and quality assurance
Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle
Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertainty
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: TW8654
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