Finding the best job has never been easier
Netflix Data Scientist L5 - Applied Research Consumer Insights United States, California 764490332
28.03.2024
Share
In this role, you will:
- Leverage your expertise in Statistics, Causal Inference, Machine Learning, and research design to analyze quantitative survey data in conjunction with behavioral data to develop comprehensive insights.
- Partner with Researchers, Engineers, and Data Scientists to develop comprehensive analysis plans and generate high-quality quantitative research across the globe.
- Consult on research plans e.g. surveys, MaxDiff, Conjoint, A/B tests (tangential space to CI), and analysis plans e.g. experimentation or causal inference modeling, key drivers analysis (usually outsourced to vendors), etc.
- Develop a strong understanding of various business areas including Content, Brand, Product, Ads, Games and more to connect dots and effectively address primary business questions with attitudinal metric development.
- Work collaboratively and iteratively throughout the research lifecycle to support survey design, deployment, analysis, and interpretation.
- Consult with Legal and Privacy Engineering teams to ensure best practices in the collection, storage, retention and use of data collected across consumer surveys, focus groups, and other research methodologies.
To be successful in this role, you have:
- Advanced degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field or relevant industry experience.
- Strong statistical knowledge and intuition - ideally utilized in experimentation, market, consumer, or social research settings.
- Strong partnership skills and ability to plan, execute and independently drive projects forward.
- Ability to communicate technical and statistical concepts clearly and concisely among audiences at various levels.
- Expert quantitative analysis, programming, and data manipulation skills using SQL, R and/or Python, and version control (Github, Stash).
- Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems is a plus.
- Experience in building causal inference solutions is a plus.
- Experience working with 3rd party APIs for data ingestion 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.
These jobs might be a good fit
