Data Scientist L4/L5 – Identity DSE
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $720,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Effectively identify and leverage experimentation and other analysis techniques, as appropriate, to solve business problems
- Be a strategic thought partner with commerce, product, engineering, analysts, data engineering etc
- Influence decision-making through data-driven insights and recommendations
- Proactively identify and perform data exploration to inform future product directions
- Prioritize competing demands toward the most impactful items
- Develop and validate the appropriate metrics to measure success in a given product area
- Contribute to the excellence of experimentation methodology within the Netflix data science community
- Live Netflix values while bringing a new perspective to continue improving our culture
Requirements
- An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
- Strong statistical skills such as regression and A/B testing experimentation
- Strong data manipulation and quantitative programming skills in SQL and Python or R
- Experience designing experiments and familiarity with observational causal inference methodologies
- Exceptional communication with technical and non-technical audiences
- Willingness to learn and rapidly absorb business context
- Comfort with ambiguity; ability to thrive with minimal oversight and process
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 full-time hourly employees
- Flexible time off for full-time salaried employees
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical skillsregressionA/B testingdata manipulationquantitative programmingSQLPythonRexperiment designobservational causal inference
Soft skills
communicationstrategic thinkinginfluencedata-driven insightsprioritizationproactive identificationadaptabilitycollaborationproblem-solvingcultural improvement
Certifications
Masters degreePhD