Amazon
Data Scientist, Prime Video Sports Science
Amazon, San Francisco, California, United States, 94199
Data Scientist, Prime Video Sports Science
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
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr