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Data Scientist, Prime Video Sports Science

Amazon

Data Scientist, Prime Video Sports Science

Amazon

Tel Aviv, ISR

·

On-site

·

Full-time

·

1mo ago

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

Amazon

Public

Amazon.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