Data Scientist - Ads - Forecasting

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June 11

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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

• Apply modeling and machine learning techniques to business problems at the intersection of product and data science • Autonomously identify and pursue research with significant business impact • Proactively perform data exploration on engagement behaviors • Collaborate with cross-functional stakeholders to develop and deploy models at scale • Deliver well-documented datasets, tools, and reports to key technical and business partners • Identify, compute and validate the appropriate metrics to measure success in a product area • Cultivate strong partnerships with cross-functional stakeholders • Present your research and insights to all levels of the company

🎯 Requirements

• Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field • 5+ years of relevant experience with large-scale data • Strong statistical knowledge and intuition • Strong product knowledge and intuition • Demonstrated ability to communicate and drive product change across a variety of stakeholders • Strong SQL skills • Strong Quantitative Programming skills in Python • Ability to work independently and drive your own projects • Ability to communicate technical and statistical concepts clearly • Embodies the Netflix values while bringing a new perspective to continue improving our culture • Experience in building real-world machine learning models with demonstrated impact (Plus) • Experience in building production-grade, large-scale machine learning systems (Plus) • Experience creating data products and dashboards (Plus) • Familiarity with software engineering practice and working with APIs (Plus) • Knowledge of Ad Serving components (Plus) • Experience with GenAI applications to boost developer productivity (Plus)

🏖️ 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