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Netflix Data Scientist L5 - Member Algorithm Foundations United States, Oregon 27297165
Be a strong thought partner influencing strategic decision-making through data-driven insights and recommendations.
Proactively identify and perform data exploration to inform future product directions.
Make data-driven recommendations for opportunities, prioritization, and resource allocation.
Understand where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items.
Effectively identify and leverage machine learning, experimentation, and other analysis techniques, as appropriate, to solve business problems.
Develop and validate the appropriate metrics to measure success in a given product area.
Cultivate strong partnerships with cross-functional partners from product, engineering, design, consumer research, etc.
Cultivate strong partnerships with cross-domain partners from Content, Ads, Games, Personalization, etc.
Present your research and insights to all levels of the company.
A highly skilled professional with strong product knowledge and intuition, ideally applied in consumer product development settings.
Demonstrated expertise in machine learning methodologies, both with regards to building ML systems, as well as sharing understandings about what systems are doing.
Proficient in a quantitative programming language, such as Python.
Highly effective in engaging with diverse stakeholders and adept at cultivating strong partnerships.
Excellent with communication, conveying technical content to non-technical audiences, and collaborating across different functions to ensure real business impact.
Strategic-minded, impact-driven, and able to incorporate a larger business context into data questions and product development.
Passionate about driving and influencing product strategies in a fast-paced, cross-functional environment.
Comfortable with ambiguity, demonstrating the capability to thrive with minimal oversight and navigate complex processes.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.
Job is open for no less than 7 days and will be removed when the position is filled.
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