Data Scientist - Ads - Measurement

January 6

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Netflix

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B2C • eCommerce • Media

Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.

- employees

Founded 1997

👥 B2C

🛍️ eCommerce

📱 Media

💰 $20M Post-IPO Equity on 2022-01

📋 Description

• Lead research and experimentation efforts to measure ad campaign performance • Identify and pursue research initiatives with significant business impact • Propose clear evaluation frameworks and success criteria • Cultivate strong partnerships with cross-functional stakeholders • Execute and present robust research and insights • Deliver technically excellent solutions using modeling and ML • Be a thought leader for Product, Strategy and Engineering teams

🎯 Requirements

• Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field • Leadership experience with large-scale data with proven ability to lead cross-functionally • Strong statistical knowledge and intuition utilized in experimentation or product analytics • Strong product knowledge and intuition utilized in consumer/user interface settings • Ability to communicate and drive product change across a variety of stakeholders • Strong SQL skills and Quantitative Programming skills in Python or R • Ability to communicate technical and statistical concepts clearly among audiences

🏖️ 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 • 35 days annually for paid time off (for hourly employees) • Flexible time off (for salaried employees)