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$372k–$600k/yr
Full-time
postgraduate degree
Health Plans, Mental Health Support, 401(k) Retirement Plan, Stock Option Program, Disability Programs, Health Savings Account
Posted 36d ago
~40 hrs/week
Remote in New York, New York, United States
Responsibilities
Lead experimentation, modeling, and advanced data science initiatives to improve player experience and cloud gaming capabilities. Partner with product stakeholders to derive business insights and influence product direction through ML models and statistical analysis.
Requirements
Requires a PhD with 5+ years of experience or a Master's with 8+ years of experience in a quantitative field. Must possess strong skills in applied ML, A/B testing, and proficiency in SQL, Python, or R.
Full job description
Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, machine learning (ML), and sciences to improve various aspects of our business. We are looking for a Senior Data Scientist to join our Games DSE team, leading experimentation, modeling, and advanced data science needs. This role will be partnering closely with our product and cloud gaming stakeholders to drive data informed decisions by building ML models, conducting statistical analysis and deriving business insights. As a member of this team, you will also play a critical role in presenting insights that shape our decision making and ensure decisions are sound from a data science perspective.
What You Will Do:
Partner with games product and cloud gaming stakeholders (e.g., Games Product Management team, Games Social team, Controller team) on data science and ML initiatives (e.g., ML modeling, causal inference, experimentation etc)
Lead the design, analysis, and interpretation of experiments that shape decision-making around Social, Controller, and Cloud Gaming at Netflix
Develop ML models to enhance player experience and core technology capabilities to enable new Controller, Cloud Gaming and Social experiences
Proactively perform data exploration to identify opportunities for business impact and innovation
Serve as a strategic thought partner to product managers and engineers, directly influencing product direction and improving user experience
Effectively communicate research and insights to both technical and non-technical stakeholders to influence and drive business impact
Balance handling ad hoc requests while also driving strategic projects forward
Who You Are:
At least 5 years of experience with a PhD degree in Statistics, Computer Science, Econometrics, Mathematics, Engineering or a relevant quantitative field or 8+ years of experience with a Master degree in those fields
At least 2 years of experience working with engineering teams as a Data Scientist
You have statistical skills utilized in A/B testing, analyzing observational data, and statistical modeling
You have solid skills with applied ML modeling (e.g., deep neural networks) and assessment
You are comfortable working with large data sets and analyzing complex data with SQL and other tools such as Python or R
You have good business acumen on product innovations and excellent problem solving skills to translate business requirements to data science problems.
You have a strong bias to action, delivering results quickly with iteration instead of waiting for perfection
You are a fast learner and are comfortable with ambiguous requests.
You have exceptional communication skills and can manage stakeholder priorities directly
Willing to mentor junior data scientists on the team to accelerate team growth.
Play, pause, and resume watching anytime and anywhere.
Industry
Entertainment Providers
Company size
10,001+ employees
Founded
1997
Headquarters
Los Gatos, CA
LinkedIn followers
11,977,217
Total funding
$72B
Netflix is one of the world’s leading entertainment services offering TV series, films, games and live programming across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
Offices: 100 Winchester Circle, Los Gatos, CA, US · 5808 W Sunset Blvd, Los Angeles, CA 90028, US · Alameda Xingu, 350, Barueri, SP 06455-030, BR · 245 W 17th St, New York, 10011, US · Stadhouderskade 55, Amsterdam, North Holland 1072 AB, NL
Revolutionizing the way people watch TV shows and movies!Media and EntertainmentDigital EntertainmentTVRecruitingVideo Streaming
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