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트렌딩 기업

트렌딩 기업

채용

채용Amazon

Senior Data Scientist, SPB Global Optimization

Amazon

Senior Data Scientist, SPB Global Optimization

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1w ago

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

The Global Optimization (GO) team within Sponsored Products and Brands at Amazon Ads is re-imagining the advertising stack from the ground up across 20+ marketplaces.

We are seeking an experienced Senior Data Scientist to join our team. You will develop scalable analytical approaches to evaluate marketplace performance across the entire Ads stack to uncover regional and marketplace-specific insights, design and run experiments, and shape our development roadmap.

We operate as a closely integrated team of Data Scientists, Applied Scientists, and Engineers to translate data-driven insights into measurable business impact. If you're energized by solving complex challenges at international scale and pushing the boundaries of what's possible with GenAI, join us in shaping the future of global advertising at Amazon.

Key job responsibilities
As a Data Scientist on this team, you will:

  • Write code to obtain, manipulate, and analyze data to derive business insights.
  • Apply statistical and ML knowledge to specific business problems and data.
  • Analyze historical data to identify trends and support optimal decision making.
  • Formalize assumptions about how our systems are expected to work and develop methods to systematically identify high ROI improvements.

About the team
SPB Global Optimization (GO) team was created to accelerate growth in non-US markets. We are driving business growth across all marketplaces by creating delightful experiences for shoppers and advertisers alike. We are working backwards from customers to re-imagine Amazon's advertising stack from the ground up, leveraging GenAI to deliver solutions that scale across 20+ marketplaces from day one.

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
  • Bachelor's degree

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 175,100.00 - 236,900.00 USD annually

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amazon 소개

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+

직원 수

Seattle

본사 위치

$1.5T

기업 가치

리뷰

2.9

10개 리뷰

워라밸

2.8

보상

3.7

문화

2.5

커리어

2.3

경영진

2.1

35%

친구에게 추천

장점

Good pay and compensation

Strong benefits package

Flexible scheduling options

단점

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

연봉 정보

4개 데이터

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

0개 리포트

$181,968

총 연봉

기본급

-

주식

-

보너스

-

$154,672

$209,264

면접 경험

10개 면접

난이도

3.7

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 10%

보통 10%

부정 80%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge