Senior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance Science jobs in United States
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Amazon · 2 days ago

Senior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance Science

positionBellevue, Washington, USA
timeFull-time
remoteOnsite
senioritySenior Level
money$183K/yr - $248K/yr
date5+ years exp

Amazon is a leading global technology company, and they are seeking a Senior Data Scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. The role involves developing new science-based forecasting methodologies and building scalable models to improve financial decision making and planning for senior leadership.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models
Working with technical and non-technical stakeholders across every step of science project life cycle
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models
Innovating by adapting new modeling techniques and procedures
Presenting research results to our internal research community

Qualification

Data querying languagesScripting languagesStatistical modelsData pipeline managementAWS tech stackForecasting analysesLeadershipMentoringCommunication skillsProblem-solving

Required

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 in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
Experience managing data pipelines

Preferred

Experience as a leader and mentor on a data science team
Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
Master's degree
Experience in forecasting analyses
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage

Benefits

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
Parental leave

Company

Amazon

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Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
dateFounded in 1994
location
Seattle, Washington, USA
people-size10001+ employees
web-link
https://amazon.com

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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