Senior Manager, Games Data Science

1 Week ago • 7 Years + • Data Analyst • $480,000 PA - $1,200,000 PA

Job Summary

Job Description

Netflix seeks a Senior Manager, Games Data Science to lead data science initiatives across its Game Studio and Game Product/Platform. Responsibilities include developing a holistic data science strategy for game building, acquisition, discovery, and operation. This role requires strong leadership, partnership with various teams (Product, Engineering, Game Studio), and the ability to translate data science into significant business impact. The ideal candidate will be a strategic thinker with proven experience in leading and growing high-performing data science teams, driving causal inference, experimentation, and metric development within the gaming industry. A passion for games and the potential of data-driven decision-making in entertainment is essential.
Must have:
  • Lead data science team for games
  • Develop holistic data science strategy
  • Partner with product, engineering, and game studio teams
  • Translate data science into business impact
  • Lead and mentor data scientists
  • Experience managing managers
Good to have:
  • Product experience
  • Causal inference expertise
Perks:
  • Comprehensive health plans
  • Mental health support
  • 401(k) retirement plan
  • Stock option program
  • Disability programs
  • Family-forming benefits
  • Paid time off

Job Details

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games 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.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Senior Manager, Data Science to lead our data science space across Games DSE. In this role, you will lead a team responsible for driving data science initiatives Game Studio and Game Product/Platform. This role will be partnering closely with our Game studio and Game Product stakeholders and play a highly strategic role to shape and define the future of games at Netflix. 

What You Will Do:

  • Lead the Data Science team for Games, owning the holistic strategy for how data science is used to build, buy, discover, and operate games at Netflix.

  • Partner with Product, Engineering, and Game Studio to inform, influence, support, and execute games product and studio strategy and decisions.

  • Lead, mentor, and grow a team of data scientists, driving a vision for how data science can empower Netflix’s games strategy.

  • Lead a highly technical team that drives the end-to-end causal inference, experimentation, metrics, and data science initiatives for games.

  • Build and foster a high-performing team that thrives on creativity, data-driven thinking, and innovation. Continuously recruit, develop, and retain top talent to deliver on the vision for Netflix Games.

Who You Are:

  • Experienced people leader with at least ~5 years of leadership experience and 2+ years of experience managing managers. You have demonstrated the ability to grow and retain high-performing data scientists.

  • Credible in data science – You are seen as a credible leader by data scientists and have led a data science team in the past.

  • A strategic thinker with the ability to influence and drive change across organizational boundaries through clear, impactful communication of data-driven insights and analyses. Product experience is a plus.

  • Fast learner, comfortable working within ambiguity.

  • You have exceptional communication and collaboration skills, with experience influencing both technical and non-technical audiences.

  • Proven track record translating data science into business impact.

  • A passion for games and their potential to redefine entertainment.


Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000 - $1,200,000
 
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 detail about our Benefits.

is 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.

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About The Company

Netflix is one of the world's leading entertainment services with over 247 million paid memberships in over 190 countries enjoying TV series, films and games 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.

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