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Mid-Level
Data Scientist, Prime Video Sports Science
Confirmed live in the last 24 hours
Amazon Development Center (Tel Aviv)
Tel Aviv, ISR
On-site
Posted December 17, 2025
Job Description
We are looking for a Data Scientist to join our Prime Video team in Israel, focusing on personalizing customer experiences through Search and Recommendations. Our team leverages Machine Learning (ML) to deliver tailored content discovery, helping millions of customers find the entertainment they love. You will work on large-scale experimentation, measurement frameworks, and data-driven decision-making that directly shapes how customers interact with Prime Video.
Key job responsibilities
- Design metrics frameworks and evaluation systems to measure the quality, performance, and reliability of algorithmic solutions
- Lead the design, execution, and analysis of A/B tests to validate product hypotheses and quantify customer impact
- Communicate analytical findings and recommendations clearly to both technical teams and business stakeholders, driving data-informed decisions
- Partner with Applied Scientists, Software Engineers, and Product Managers to define requirements, evaluate models, and drive data-informed product decisions
- Act as the subject matter expert for data structures, metrics definitions, and analytical best practices
- Identify opportunities for improving customer experience through deep-dive analyses of user behavior and algorithm performance
- Experience using analytics to solve product or business problems
- Experience with Redshift, SparkSQL, Athena
- Experience designing and evaluating A/B tests in a product environment
- Experience with statistical modeling and causal inference methods
- Experience in a Data Science role with a large technology company
- Familiarity with recommendation systems or search technologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Key job responsibilities
- Design metrics frameworks and evaluation systems to measure the quality, performance, and reliability of algorithmic solutions
- Lead the design, execution, and analysis of A/B tests to validate product hypotheses and quantify customer impact
- Communicate analytical findings and recommendations clearly to both technical teams and business stakeholders, driving data-informed decisions
- Partner with Applied Scientists, Software Engineers, and Product Managers to define requirements, evaluate models, and drive data-informed product decisions
- Act as the subject matter expert for data structures, metrics definitions, and analytical best practices
- Identify opportunities for improving customer experience through deep-dive analyses of user behavior and algorithm performance
Basic Qualifications
- Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- Experience using analytics to solve product or business problems
Preferred Qualifications
- Experience with Python for data analysis and machine learning- Experience with Redshift, SparkSQL, Athena
- Experience designing and evaluating A/B tests in a product environment
- Experience with statistical modeling and causal inference methods
- Experience in a Data Science role with a large technology company
- Familiarity with recommendation systems or search technologies
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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