Netflix is seeking a Director, Supply and Decisioning Data Science and Engineering to lead the science teams for forecasting, ads core algos, media planning, audiences and identity, and revenue optimization. The ideal candidate will have experience building and leading hybrid data science and MLE teams in the ads space and a passion for TV and movies.
Requirements
- Hire, inspire, and grow high-performing people leaders and teams of data scientists, MLEs/MLSs, and analysts.
- Bring a strong ad-tech point of view and influence the overall strategy and own the science vision for the Supply and Decisioning space with Ads.
- Lead strong partnerships with stakeholders from across the business - from product management, engineering, design, consumer insights, content, to strategy.
- Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
- Develop a team vision and roadmap that optimizes the impact of the team and reflects evolving business needs.
- Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.
- Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business.
Benefits
- Annual salary, no bonuses
- Choice of compensation in salary versus stock options
- Comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits
Originally posted on Himalayas
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