Data Scientist 5 - Games

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

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.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.