Jobs
Benefits & Perks
•Learning and development stipend
•Wellness benefits
•Top Tier compensation with equity
•Remote work flexibility
•Health, dental, and vision coverage
•Flexible PTO policy
Required Skills
Apache Spark
SQL
PyTorch
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.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L4
0 reports
$181,968
total / year
Base
-
Stock
-
Bonus
-
$154,672
$209,264
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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