Sr. 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:
Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate and grow their personal interests and passions. We're always live at Twitch.
About the Role:
Data scientists play a central role in Twitch's data-driven decision-making process. As a DS at Twitch, you will shape the way product performance is measured, define critical questions that guide product strategies, and scale analytics methods and tools to support our growing business.
More specifically, Twitch's Community Foundations Analytics team is looking for an experienced DS to help develop new programs aimed at improving viewer experience and unlocking new opportunities for creators. As part of the team, you will help product managers, engineering leads, designers, and executives, make better product decisions faster. You'll recommend and implement metrics to measure user behavior, run experiments to test product hypotheses, and produce insights for your partners. You will report to the CF Analytics Lead.
You Will:
- Become a domain expert at the product surfaces you support, building trust with your product partners.
- Ensure your product, engineering, and design partners understand and use the insights you produce.
- Translate product and strategy questions into metrics, and collaborate with data engineers to dashboard these metrics.
- Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertainty.
- Mentor junior team members and drive analytics and experimentation best practices throughout the company.
You Have:
- At least 6 years of experience transforming data into insights and influencing product roadmaps.
- A keen understanding of metrics, their relation to actual user behavior, limitations, and complementarity.
- At least 3 years of experience designing and analyzing AB tests. You have used advanced analysis techniques such as diff-in-diff, two-stage least square, or CUPED. You can explain them clearly to product partners unfamiliar with statistics.
- Great SQL skills, so you can quickly tap into our data sources.
- Experience using Python data libraries like pandas, numpy, or scipy.
- Excellent writing skills. Twitch communicates mostly through reports, not much via slides.
Bonus Points:
- Knowledge of state-of-the-art statistical methods such as structural equation modeling, GLM, time series forecasting, bayesian inference, etc. When to use them, and when not to.
- Curiosity about new experiment analysis techniques developed in academia and the industry.
- Familiarity with Tableau
- Active Twitch viewer or creator
- 7 Wonders player (Our team plays every Friday)
Perks:
- Medical, Dental, Vision & Disability Insurance
- 401(k), Maternity & Parental Leave
- Flexible PTO
- Commuter Benefits
- Amazon Employee Discount
- Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages),
- Breakfast, Lunch & Dinner Served Daily
- Free Snacks & Beverages
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, gender identity, sexual orientation, age, marital status, veteran status, or disability status, or other legally protected status.
Tags: Bayesian Engineering NumPy Pandas Python SciPy SQL Statistics Tableau
Perks/benefits: Career development Fitness / gym Flex vacation Health care Insurance Lunch / meals Medical leave Parental leave Salary bonus Snacks / Drinks Team events
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