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Netflix

Senior Data Scientist Manager - Games Product and Platform

Posted 14 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
525K-950K Annually
Expert/Leader
Remote
Hiring Remotely in USA
525K-950K Annually
Expert/Leader
The role involves leading a team to manage data strategies and analytics for Netflix Games, requiring expertise in data science, business analytics, and team management.
The summary above was generated by AI

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, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are looking for a Data Science Manager - Games Product and Platform to lead a group of Data Scientists and Analytics Engineers who are essential partners to our Games Member and Games Studio Product teams in delivering amazing on-Netflix game product and platform experiences to our Players. You will lead a team that provides the data strategy, measurement and experimentation for all games product experiences.
 

To succeed in this role, you’ll need a blend of data science and analytics engineering expertise, coupled with exceptional business acumen. You should have a mindset focused on standardization, scalability, and systematic frameworks, and the ability to influence senior leaders across different disciplines. Your leadership will be key to ensuring the team provides the insights that shape our overall games strategy and drive our business forward.

What you will be responsible for:

  • You will enable the measurement, analytics and experimentation strategy for Games specific discovery features Players on Netflix interact with games specific surfaces to discover and engage with games content and the larger games ecosystem. You will both drive experimentation for games specific features, as well as collaborate with our member team on shared surface experiments.

  • You will enable the measurement, analytics and experimentation strategy for Games Platform features
    As the Netflix Games platform expands, you will work directly with Product Managers as they build out game-adjacent features (Leaderboards, Achievements, Social etc) to track and measure their evolution.

  • You will own the information flow of critical backend platform data Our internal development teams rely on device, crash and meta information on the performance of our services

  • You will coach and inspire a high-performing team. You'll provide guidance and mentorship, ensuring the team's work is scalable, consistent, and delivers high-impact insights that shape our games portfolio.

Who will be successful in this role:

  • You have demonstrated experience in building, managing, growing, and inspiring data science and analytics teams, with 10+ years of experience managing highly technical individual contributors.

  • You have a deep understanding of data science, analytics engineering, and business analytics, with a focus on standardization, scalability, and systematic frameworks.

  • You possess exceptional business acumen and the ability to effectively influence senior leaders across a variety of disciplines and business domains.

  • You set the stage for your team to lead and shine - business impact and the team's success are above all else - you leave no room for ego.

  • You have strong interpersonal and communication skills, with a proven ability to influence both technical and business senior leaders.

  • You are comfortable with ambiguity and are a role model for the team through your consistently positive and collaborative approach.

  • Ph.D. or advanced degree in Economics, Statistics, Mathematics, Business Analytics, 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 $525,000.00 - $950,000.00. This compensation range will vary based on location.

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.

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.

Top Skills

Analytics Engineering
Causal Inference
Data Science
Machine Learning

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