Data Scientist 5, Media Science at Netflix | United States (Remote)
Company/Recruiter: Netflix
Opportunity snapshot
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Opportunity type
Job
Location
United States of America
Work arrangement
Remote
Compensation
$372,000/year
Closing date
Mar 2, 2027
Employer
Netflix
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MorrJobs preparation notes
Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) or equivalent practical experience.; Proven experience in data science, machine learning, and statistical model…. Use one concrete example that shows you can Develop and implement sophisticated statistical models and machine learning algorithms..
Check before applying: Confirm that United States of America and the stated work arrangement suit you, check the closing date of Mar 2, 2027.
- Apply before Mar 2, 2027.
- The application route is available to verified Talent accounts.
Job Overview
This position focuses on applying advanced data science techniques to complex media science challenges within Netflix. You will play a crucial role in driving innovation and informing strategic decisions through rigorous analysis and insightful modeling.Key Responsibilities
- Develop and implement sophisticated statistical models and machine learning algorithms.
- Analyze large-scale datasets to uncover trends and insights related to media consumption and content performance.
- Collaborate with cross-functional teams, including engineers, product managers, and creative professionals.
- Communicate complex findings and recommendations to diverse audiences.
- Contribute to the development of new data-driven products and features.
Requirements
- Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) or equivalent practical experience.
- Proven experience in data science, machine learning, and statistical modeling.
- Proficiency in programming languages such as Python or R and relevant data science libraries.
- Strong analytical and problem-solving skills.
What We Offer
- The opportunity to work on impactful projects at the forefront of the entertainment industry.
- A collaborative and innovative work environment.
- The chance to be part of a team that shapes global entertainment.
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