Data Science Manager - Engineering: Leading Analytics and Machine Learning Innovation in a Remote Environment

About Netflix: Revolutionizing Entertainment Through Technology and Innovation Netflix is a global entertainment powerhouse with 278 million paid memberships across over 190 countries, offering an expansive library of TV series, films, and games that cater to diverse tastes and languages. As a technical leader in the industry, Netflix's infrastructure supports a high-performance, high-reliability, and high-scale entertainment service. Members enjoy the flexibility to play, pause, and resume watching content seamlessly, anytime, anywhere, and can change their plans at any time. The Role: Leading Data Science and Analytics Innovation We're seeking an accomplished Data Science Manager - Engineering to lead a diverse team of senior individual contributors who are experts in analytics, experimentation, and machine learning. As a key partner to software engineering teams, you will optimize the Netflix streaming product by scaling analytics, enhancing access to insights, innovating methodologies, and identifying new opportunities to apply high-impact science and analytics to solve complex challenges. Key Responsibilities: Team Leadership: Hire, lead, and mentor a high-caliber team of data-focused professionals with varying technical strengths across analytics, experimentation, and machine learning. Inclusive Culture: Foster an inclusive team culture that encourages collaboration, innovation, and growth. Technical Partnership: Partner with technical engineering and product teams to drive business outcomes through data-driven insights and recommendations. Statistics and Experimentation: Apply statistical expertise and experimentation to solve complex problems and drive business impact. Innovation and Opportunity Identification: Independently identify opportunities and execute science and analytics challenges to drive maximum business impact. Scaling Analytics: Develop and implement strategies to scale analytics capabilities, enhance access to insights, and innovate methodologies. Requirements and Qualifications: Essential Qualifications: Experience: Proven experience in hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation, and machine learning. Team Culture: Experience creating and fostering an inclusive team culture that encourages collaboration and growth. Technical Partnership: Experience partnering with technical engineering or product teams to drive business outcomes. Statistics and Experimentation: Demonstrated strength in applying statistics and experimentation to solve complex problems. Innovation and Opportunity Identification: Ability to independently identify opportunities and execute science and analytics challenges for maximum business impact. Preferred Qualifications: Advanced Degree: Master's or Ph. D. in Computer Science, Statistics, Mathematics, or related fields. Technical Expertise: Strong technical expertise in machine learning, deep learning, and statistical modeling. Cloud Platforms: Experience with cloud platforms, such as AWS or GCP. Programming Skills: Proficiency in programming languages, such as Python, R, or SQL. Skills and Competencies: Leadership: Strong leadership and management skills to lead a diverse team of professionals. Communication: Excellent communication and interpersonal skills to effectively partner with technical teams and stakeholders. Analytical: Strong analytical and problem-solving skills to drive business outcomes through data-driven insights. Innovation: Ability to innovate and think creatively to drive business impact. Career Growth Opportunities and Learning Benefits: At Netflix, we offer a unique and dynamic work environment that encourages growth, innovation, and learning. As a Data Science Manager - Engineering, you will have opportunities to: Develop New Skills: Enhance your technical expertise and develop new skills in machine learning, deep learning, and statistical modeling. Lead High-Impact Projects: Lead high-impact projects that drive business outcomes and drive innovation. Collaborate with Experts: Collaborate with experts across the organization to drive business outcomes and share knowledge. Contribute to Open-Source Projects: Contribute to open-source projects and share knowledge with the broader data science community. Work Environment and Company Culture: Netflix is a unique and dynamic work environment that encourages innovation, collaboration, and growth. As a remote employee, you will have the flexibility to work from anywhere and enjoy a range of benefits, including: Remote Work: Flexible remote work arrangements that allow you to work from anywhere. Competitive Compensation: Competitive salary and stock option program. Comprehensive Benefits: Comprehensive benefits, including health plans, mental health support, 401(k) retirement plan with employer match, and more. Inclusive Culture: Inclusive culture that encourages diversity, equity, and inclusion. Compensation and Benefits: 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. The range for this role is $360,000 - $920,000. We also offer a range of benefits, including: Health Plans: Comprehensive health plans. Mental Health Support: Mental health support and resources. 401(k) Retirement Plan: 401(k) retirement plan with employer match. Stock Option Program: Stock option program. Disability Programs: Disability programs. Health Savings and Flexible Spending Accounts: Health savings and flexible spending accounts. Family-Forming Benefits: Family-forming benefits. Life and Serious Injury Benefits: Life and serious injury benefits. Conclusion: If you're a motivated and experienced data science leader looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Science Manager - Engineering at Netflix, you will have the opportunity to lead a diverse team of professionals, drive business outcomes through data-driven insights, and contribute to the development of innovative solutions that transform the entertainment industry. Apply now to join our team and be part of the Netflix story! Apply for this job