Data Science Manager – Acquisition and Partnerships

November 2, 2026

Job Description:

Lead a diverse team of talented individual contributors who are experts in the fields of analytics, experimentation, and machine learning
Mentor and inspire a team of data scientists and analytics engineers to consistently deliver business impact
Partner with teams that define consumer experiences before someone is logged in to set business strategy, support long-term technical vision, and drive influence
Keep an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges

Requirements:

Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments
Master’s or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields
Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation, and machine learning
Tenacious and flexible and can effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions
Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact
Exceptional verbal and written communication skills with a wide variety of technical and business stakeholders

Benefits:

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
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

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