Netflix is one of the world's leading entertainment services, with over 300 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, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are looking for a Manager of Games Central Studio DSE to lead a dynamic team that directly impacts the creation and success of our video games. You will be responsible for leading a team of Data Scientists and Analytics Engineers to partner with leadership and developers to use applied research, machine learning, and analytics to power our game development efforts and enhance player experiences.
To succeed in this role, you'll need to be an experienced data leader with a passion for gaming and a deep understanding of data science, analytics, and data engineering. You'll bring a 0-to-1 mindset, embracing ambiguity and a "bias for action" to rapidly learn and iterate in game development and live operations cycles. Your leadership will be key to ensuring the team provides technical rigor and delivers high-impact insights capabilities that shape our games and delight our players.
What you will be responsible for:
Enable game studios across the entire lifecycle - lead your team to support games from pre-production to launch and through live operations using a combination of applied research, in-game experimentation, ML solutions, and advanced analytics.
Build a vision for applied data science and analytics in game development - guide the team in creating deep-dive behavioral research, building ML models to improve in-game systems, and developing game-specific data solutions to enhance player experience. In partnership with the Consumer Insights team, lead your team to provide holistic insights to enable fast iterations in game development.
Champion experimentation and feedback loops - oversee the design and analysis of in-game experiments, ensure robust instrumentation and data validation, and foster rapid learning cycles that are tightly integrated into studio workflows.
Build essential analytics tooling - guide the development of key dashboards for feature launch, engagement, and retention, as well as developer-facing tools for telemetry health and performance insights.
Drive player-facing innovations - lead your team's efforts in developing personalization systems (like matchmaking and progression tuning), anti-cheat detection, and lifecycle modeling for key metrics like retention and lifetime value (LTV).
Connect game data across Netflix - contribute to strategies that bridge insights from other content categories (TV/movie and Live) , enhancing a holistic understanding of member engagement.
Coach and inspire a high-performing team - provide regular feedback and guidance, ensuring the team's work is technically rigorous, impactful, and aligned with studio needs.
Who Will be Successful in this Role:
Proven track record of building, managing, mentoring, and inspiring data science and analytics teams.
5+ years of experience managing highly technical individuals contributors.
A "bias for action", a passion for rapid learning, and a 0-to-1 mindset that allows you to thrive in ambiguous, fast-paced environments.
Default to setting the stage for your team to lead and shine - business impact and the team's success are above all else.
Exceptional interpersonal and communication skills, with a demonstrated ability to effectively collaborate with a variety of technical and non-technical partners, from game developers and producers to executive leadership.
A self-starter with a positive attitude and a passion for using data science to drive business impact, particularly in the gaming and entertainment space.
Deep expertise in data science and analytics, with demonstrated experience in applying these fields to drive impact for game development and live operations.
Ph.D. or advanced degree in Economics, Statistics, Mathematics, Computer Science, or related field.
Generally, 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 $360,000 - $920,000
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 here.
Inclusion 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.