Data Scientist – Ads – Forecasting

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Job 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 companyRequirements:• 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

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