Job details

Senior Manager, Games Data Science

Netflix is one of the world’s leading entertainment services with 278 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.The RoleData 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 - $1,200,000Netflix 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.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix Glassdoor Company Review

4.2

Netflix DE&I Review

4.3

CEO of Netflix

Reed Hastings

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Average salary estimate

$840000 / YEARLY (est.)

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$480000K

$1200000K

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What You Should Know About Senior Manager, Games Data Science, Netflix

Join Netflix as a Senior Manager, Games Data Science in Los Gatos, CA, where you'll play a crucial role in shaping the future of gaming! With 278 million members enjoying an array of entertainment services, Netflix is committed to leveraging data to enhance user experiences. In this position, you will lead a dedicated team of data scientists focused on innovative initiatives within the Games Data Science and Engineering (DSE) division. Your mission will involve collaborating with product, engineering, and game studio teams to drive strategic decisions that elevate our gaming offerings. As a mentor and leader, you will cultivate a high-performance environment that thrives on creativity and data-driven approaches. You’ll also be responsible for fostering a culture of continual learning and recruitment, ensuring we attract top talent. If you’re passionate about games and their transformative power within the entertainment landscape, this is the perfect opportunity to make an impact at one of the world's leading entertainment companies. This role offers a competitive salary range of $480,000 - $1,200,000, alongside comprehensive benefits. Come help us redefine the future of games at Netflix!

Frequently Asked Questions (FAQs) for Senior Manager, Games Data Science Role at Netflix

What are the responsibilities of a Senior Manager, Games Data Science at Netflix?

As a Senior Manager, Games Data Science at Netflix, you will lead a team focused on implementing data science strategies that shape our games. This includes collaborating closely with the Game Studio and Game Product teams to inform innovative strategies, managing end-to-end causal inference projects, and driving experimentation and metrics specific to games. Your role is pivotal in integrating data insights into the game development lifecycle.