If you are interested in this position, please apply on Twitch's Career site here.
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 Role:
We are looking for an experienced Data Scientist with a strong machine learning background to lead the development of frameworks that deepen understanding of engagement at Twitch. Bringing to bear a mixture of model development and software engineering skills, you will lead the development and deployment of several of Twitch's core growth forecasting models, use data-driven methods to answer business questions, and deliver insights to deepen understanding of viewers and creators on Twitch. Reporting to the Head of Finance, Analytics, and Business Operations, your team will be located in San Francisco. While there is a preference for the San Francisco Bay Area, we are open to this role operating remotely within the U.S.
You Will: Own and develop the central machine learning models that forecast user growth at Twitch.Lead the model development process to implement production algorithms, including exploratory data analysis, data modeling, feature engineering, model training, testing, deployment, and monitoring.Deep dive into mission-critical problems unique to Twitch and design custom algorithmic solutions.Author narratives and create artifacts that deliver insights related to viewer and payer behavior at Twitch. Perks: Medical, Dental, Vision & Disability Insurance401(k)Maternity & Parental LeaveFlexible PTOAmazon Employee Discount Minimum Requirements: Graduate degree in Computer Science, Statistics, Applied Mathematics, Economics, Data Science, a related technical field, or equivalent work experience.3+ years of software or machine learning engineering experience building algorithms for business application at scale.Extensive experience with Python and SQL for data science, machine learning, and software development e.g. PyTorch, LightGBM, FastAPI.Experience leading development and deployment of machine learning- and data-based forecasting solutions in production.Experience with a variety of causal inference methods.Experience in professional software development.Experience with generative deep learning models. 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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in 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. For more information, please visit here. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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