Data Science Manager – Acquisition and Partnerships
Job Description:
• Lead a diverse team of talented, individual contributors who are experts in the fields of analytics, experimentation, and machine learning.
• Lead, mentor, and inspire a team of data scientists and analytics engineers to consistently deliver business impact.
• Partner with teams that define consumer experiences 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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• Lead a diverse team of talented, individual contributors who are experts in the fields of analytics, experimentation, and machine learning.
• Lead, mentor, and inspire a team of data scientists and analytics engineers to consistently deliver business impact.
• Partner with teams that define consumer experiences 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.
Apply tot his job
Apply To this Job