Introduction to Our Company and Industry
Netflix, the world's leading entertainment service, is revolutionizing the way people enjoy TV series, films, and games. With over 278 million paid memberships in more than 190 countries, our mission is to entertain the world by connecting our members with an extensive library of stories from around the globe. We are committed to providing a unique and personalized experience for our members, and our Promotional Media Data Science and Engineering team plays a crucial role in achieving this goal.
About the Role
We are seeking an experienced Data Science Manager to lead our Promotional Media team, which is responsible for developing and implementing data-driven strategies to promote our titles and enhance the content discovery experience for our members. As a leader in data science and analytics, you will have the opportunity to solve novel problems, partner with world-renowned creatives, and drive business impact through data-driven insights.
Key Responsibilities
- Oversee end-to-end causal inference, experimentation, analytics, and overall measurement of promotional strategies to optimize promotion strategies and enhance member experience and value.
- Partner with cross-functional teams, including creative, marketing, and product teams, to leverage insights generated from rigorous measurement frameworks and drive business impact.
- Lead, mentor, and inspire a team of data scientists and analytics engineers to consistently deliver high-quality results and drive business growth.
- Collaborate with world-renowned creatives to blend science and creativity and develop innovative solutions to complex problems.
- Cultivate strong relationships with cross-functional partners to provide strategic insights, drive influence, execute complex initiatives, and support long-term technical visions.
About You
To be successful in this role, you should have:
- Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments, meeting scalability requirements.
- High proficiency in Causal Inference and standard tech stack (Python, SQL).
- A Master's or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering, or other relevant fields.
- 6+ years of hands-on data science and analytics experiences (3+ years with a Ph.D. in relevant fields) with 2+ years of experience mentoring and leading data scientists.
- Strong judgment and effective entrepreneurship in identifying and framing opportunities in greenfield areas.
- Tenacious and flexible, with the ability to effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions.
- Passionate about the blend of art and science and excel at partnering with business and creative teams as much as you do with technical teams.
- Exceptional verbal and written communication skills with a wide variety of technical, business, and creative stakeholders.
Essential Skills and Competencies
- Strong technical skills in data science and analytics, including machine learning, statistical modeling, and data visualization.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong business acumen and ability to drive business impact through data-driven insights.
- Ability to work in a fast-paced environment and adapt to changing priorities and deadlines.
Career Growth Opportunities and Learning Benefits
At Netflix, we are committed to helping our employees grow and develop their careers. As a Data Science Manager, you will have the opportunity to:
- Work on complex and challenging problems that have a direct impact on the business.
- Collaborate with world-renowned creatives and technical experts to develop innovative solutions.
- Develop and mentor a team of data scientists and analytics engineers to help them grow and develop their careers.
- Stay up-to-date with the latest technologies and trends in data science and analytics through our comprehensive training and development programs.
Work Environment and Company Culture
Netflix is a unique and dynamic company that values innovation, creativity, and collaboration. Our company culture is built on the principles of:
- Freedom and responsibility: We trust our employees to make decisions and take ownership of their work.
- Open communication: We encourage open and honest communication across all levels of the company.
- Collaboration: We believe that collaboration and teamwork are essential to driving business success.
- Innovation: We encourage innovation and experimentation, and we are not afraid to take risks.
Compensation, Perks, and Benefits
We offer a competitive salary and a comprehensive benefits package, including:
- A annual salary range of $360,000 - $920,000.
- A choice of how much of your compensation you want in salary versus stock options.
- Comprehensive health plans, including medical, dental, and vision coverage.
- Mental health support and resources.
- A 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.
- Flexible time off for full-time salaried employees.
Conclusion
If you are a motivated and experienced data science professional who is passionate about driving business impact through data-driven insights, we encourage you to apply for this exciting opportunity. As a Data Science Manager at Netflix, you will have the chance to work on complex and challenging problems, collaborate with world-renowned creatives and technical experts, and develop and mentor a team of data scientists and analytics engineers. Don't miss out on this opportunity to join our dynamic and innovative team and help shape the future of entertainment.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully, and 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.
Apply now to join our team and help us entertain the world!
Apply Now