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Data Scientist III - AMZ

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Amazon
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 165006 - 215300 USD Yearly USD 165006.00 215300.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist III - AMZ9971313

Position Responsibilities

Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to drive the design of the product. Collaborate with Technical Product Managers to help drive build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables.

Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.

40 hours per week, 8:00 a.m.–5:00 p.m., Salary Range $165,006 to $215,300 per year.

Basic Qualifications

Master's degree (or foreign equivalent) in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or related field and at least two years of experience in the offered job or related occupation. Alternatively, a Bachelor's degree (or foreign equivalent) in the same fields and five years of progressive post-baccalaureate experience in the offered job or related occupation is considered equivalent to the Master’s degree and two years of experience.

Must have at least one year of experience in: (1) building statistical and machine‑learning models using large datasets from multiple resources; (2) building complex data analyses by leveraging scripting languages including Python, Java, or related language; and (3) communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization.

Preferred Qualifications

None specified beyond the basic qualifications.

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

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