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트렌딩 기업

트렌딩 기업

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채용Amazon

Senior Research Scientist, AMX Research

Amazon

Senior Research Scientist, AMX Research

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1w ago

The PXT (People Experience and Technology) AMX Research is seeking a highly skilled and motivated Senior Research Scientist to join our team. You will be leading manager experience research space to support the PXT talent evaluation/talent management initiatives. If you enjoy innovating, thinking big and want to contribute directly to the success of a growing team, you may be a prime candidate for this position.

Key job responsibilities
Design experiments, test hypotheses, and build actionable models
Conduct quantitative analyses of talent management data and trends
Conduct qualitative data collection and analysis
Partner closely and drive effective collaborations across multi-disciplinary research and product teams
Consult on appropriate analytic methodologies and scope research requests

Basic Qualifications

  • 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
  • PhD, or Master's degree and 5+ years of quantitative field research experience
  • Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
  • Experience communicating qualitative research methods and findings to non-qualitative researchers
  • Knowledge of quantitative approaches (e.g., t-tests, regressions, ANOVAs, etc.)

Preferred Qualifications

  • Experience converting research studies into tangible real-world changes
  • Experience with discrete and continuous optimization methodologies and algorithms
  • PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD and 4+ years of quantitative field research experience

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
USA, WA, Seattle - 159,200.00 - 215,300.00 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