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Senior Data Scientist, JP Seller Services

Amazon

Senior Data Scientist, JP Seller Services

Amazon

Tokyo, 13, JPN

·

On-site

·

Full-time

·

3w ago

Benefits & Perks

Healthcare

401(k)

Parental Leave

Mental Health

Healthcare

401k

Parental Leave

Mental Health

Required Skills

SQL

Python

Statistical modeling

Machine learning

Generative AI

We are seeking an exceptional Senior Data Scientist to join our JP Seller Services team, where you will play a pivotal role in enabling seller growth and success on Amazon Marketplace through innovative products, technology, and data-driven solutions. As a key member of JP Seller Services, you will collaborate with cross-functional stakeholders across Amazon to develop sophisticated AI-native recommendation systems and problem-solving products through advanced analytics, machine learning, and generative AI. These solutions will enable seller business growth on Amazon Marketplace and serve as key strategic pillars that influence our entire seller base. The ideal candidate combines deep technical knowledge in generative AI, machine learning, and statistical modeling with strategic thinking to address complex business challenges through scalable solutions.

Key job responsibilities
(1) Build and scale end-to-end AI-native recommendation models using generative AI/ML to unlock business growth opportunities.
(2) Create scalable, data-driven mechanisms to identify critical and urgent seller challenges through scientific modeling.
(3) Collaborate with stakeholders to transform business insights into rigorous scientific solutions.

Basic Qualifications

  • 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 4+ years of data scientist experience
  • Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

  • 2+ years of data visualization using AWS Quick Sight, Tableau, R Shiny, etc. experience
  • Experience managing data pipelines
  • Experience as a leader and mentor on a data science team

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