Data Scientist (L5) - Content Understanding
About The Position
The goal of our Merchandising and Content Understanding team is to enable operational and creative excellence in the distribution and promotion of our content on our service. We collaborate closely with our partners in the Product Discovery & Promotion organization, and our work directly contributes to launching high-quality content on our service and helps our members discover content they will love. We conduct analyses, build analytical tools, and develop models to help our partners execute on these primary objectives. We are looking for a talented data scientist to join Merchandising & Content Understanding, which focuses on developing content understanding signals across all formats and improving the discovery experience on our service.
Requirements
- Proven track record of researching and leading Experimentation and Causal Inference methods in ambiguous and complex business areas with a focus on technical rigor and robustness
- High proficiency in standard tech stack (e.g. Python, SQL), Experimentation (HTEs, multiple hypotheses correction), and common Causal Inference frameworks (e.g., propensity score matching, double machine learning)
- 4+ years of relevant experience with Experimentation and Causal Inference applications
- Exceptional communication and collaboration skills coupled with strong business acumen
- Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
- Netflix culture resonates with you
Responsibilities
- Act as strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with novel data science methods in the live event space
- Define and execute on roadmaps for measuring the impact of content merchandising and improving member experience with Causal Inference and Machine Learning
- Partner closely with other business leaders, product managers, and other data scientists to refine and scale Causal Inference model based systems
- Present your research and insights to all levels of the company
- Become a regional expert on Merchandising and Content Understanding Data Science and Engineering, helping educate and connect with regional offices
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
- flexible time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
