Data Scientist 5 – Ads Identity
Netflix
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $372,000 - $600,000 per year
About the role
- Apply modeling and machine learning techniques to business problems at the intersection of product and data science
- Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
- Diagnose data and model assumptions, curating and testing appropriate models for each dataset and business objective
- Identify, compute and validate the appropriate metrics to measure success
- Deliver well-documented datasets, tools, and reports to key technical and business partners
- Serve as a strategic thought partner to product managers and business stakeholders, directly influencing product direction and improving user experience
- Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc
- Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions.
Requirements
- Advanced degree (PhD or Master’s) in Computer Science, Statistics, Economics, Applied Mathematics, or related quantitative field
- 5+ years of experience and high proficiency in SQL, Python
- 5+ years of experience with large scale data
- Deep knowledge of machine learning, statistics, optimization, and data analysis techniques
- Experience in identity graphs, privacy, differential privacy, anonymization and identity-related concepts
- Strong business acumen and ability to translate technical results into business impact
- Excellent communication and collaboration skills
- Comfortable with ambiguity; able to thrive with minimal oversight and process
- Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus.
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
- Full-time hourly employees accrue 35 days annually for paid time off
- Full-time salaried employees are immediately entitled to flexible time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningSQLPythondata analysisstatisticsoptimizationmodelingdata validationmetrics computationlarge scale data
Soft Skills
communicationcollaborationbusiness acumenstrategic thinkingproblem-solvingadaptabilityinfluencepartnership buildingpresentation skillsautonomy
Certifications
PhDMaster’s