Data Scientist (L5) - Member Algorithm Foundations
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.
As Netflix expands into delivering a broader range of entertainment options and business models, it is increasingly important we build a holistic and personal view of who our consumers are. We are looking for a Senior Data Scientist to support the vision, strategies, understanding, and development of Machine Learning systems that provide intelligence about our consumers. This high-impact role will be pivotal in uncovering opportunities, influencing product decisions, and informing future directions. The ideal candidate will excel in opportunity discovery, experimentation, cross-functional & cross-domain collaboration and have a passion for leveraging their ML knowledge to continuously improve our understanding of our members.
In this role, you will:
Be a strong thought partner influencing strategic decision-making through data-driven insights and recommendations.
Proactively identify and perform data exploration to inform future product directions.
Make data-driven recommendations for opportunities, prioritization, and resource allocation.
Understand where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items.
Effectively identify and leverage machine learning, experimentation, and other analysis techniques, as appropriate, to solve business problems.
Develop and validate the appropriate metrics to measure success in a given product area.
Cultivate strong partnerships with cross-functional partners from product, engineering, design, consumer research, etc.
Cultivate strong partnerships with cross-domain partners from Content, Ads, Games, Personalization, etc.
Present your research and insights to all levels of the company.
You are:
A highly skilled professional with strong product knowledge and intuition, ideally applied in consumer product development settings.
Demonstrated expertise in machine learning methodologies, both with regards to building ML systems, as well as sharing understandings about what systems are doing.
Proficient in a quantitative programming language, such as Python.
Highly effective in engaging with diverse stakeholders and adept at cultivating strong partnerships.
Excellent with communication, conveying technical content to non-technical audiences, and collaborating across different functions to ensure real business impact.
Strategic-minded, impact-driven, and able to incorporate a larger business context into data questions and product development.
Passionate about driving and influencing product strategies in a fast-paced, cross-functional environment.
Comfortable with ambiguity, demonstrating the capability to thrive with minimal oversight and navigate complex processes.
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 $170,000 - $720,000.
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.
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.
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Data Scientist (L5) - Member Algorithm Foundations
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.
As Netflix expands into delivering a broader range of entertainment options and business models, it is increasingly important we build a holistic and personal view of who our consumers are. We are looking for a Senior Data Scientist to support the vision, strategies, understanding, and development of Machine Learning systems that provide intelligence about our consumers. This high-impact role will be pivotal in uncovering opportunities, influencing product decisions, and informing future directions. The ideal candidate will excel in opportunity discovery, experimentation, cross-functional & cross-domain collaboration and have a passion for leveraging their ML knowledge to continuously improve our understanding of our members.
In this role, you will:
Be a strong thought partner influencing strategic decision-making through data-driven insights and recommendations.
Proactively identify and perform data exploration to inform future product directions.
Make data-driven recommendations for opportunities, prioritization, and resource allocation.
Understand where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items.
Effectively identify and leverage machine learning, experimentation, and other analysis techniques, as appropriate, to solve business problems.
Develop and validate the appropriate metrics to measure success in a given product area.
Cultivate strong partnerships with cross-functional partners from product, engineering, design, consumer research, etc.
Cultivate strong partnerships with cross-domain partners from Content, Ads, Games, Personalization, etc.
Present your research and insights to all levels of the company.
You are:
A highly skilled professional with strong product knowledge and intuition, ideally applied in consumer product development settings.
Demonstrated expertise in machine learning methodologies, both with regards to building ML systems, as well as sharing understandings about what systems are doing.
Proficient in a quantitative programming language, such as Python.
Highly effective in engaging with diverse stakeholders and adept at cultivating strong partnerships.
Excellent with communication, conveying technical content to non-technical audiences, and collaborating across different functions to ensure real business impact.
Strategic-minded, impact-driven, and able to incorporate a larger business context into data questions and product development.
Passionate about driving and influencing product strategies in a fast-paced, cross-functional environment.
Comfortable with ambiguity, demonstrating the capability to thrive with minimal oversight and navigate complex processes.
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 $170,000 - $720,000.
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.
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.