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!
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