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Netflix Data Scientist L5 - Identity Algorithms United States, California 524974224
23.06.2024
In this role, you will:
- 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 apply analytics, experimentation, and causal inference techniques for 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.
You are:
- A highly skilled professional with expertise in product knowledge and intuition, ideally applied in consumer product development settings.
- A statistical expert with strong statistical knowledge and intuition, ideally applied in experimentation and observational causal studies settings.
- Proficient in quantitative programming languages, such as Python or R.
- Skilled in SQL and familiar with distributed data stores like S3, Presto, Hive, and Spark.
- 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.
- Experience in building real-world machine learning models with demonstrated impact is a plus.
- Familiarity with software engineering practice and working with APIs is a plus.
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.
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