Research Scientist II, FinAuto-GREF

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Research Scientist II, FinAuto-GREF Bengaluru, Karnataka, IND Are you passionate about solving large-scale optimization and machine learning problems that directly improve how Amazon operates? The FinAuto team is hiring a Research Scientist to support GREF, Amazon's Global Real Estate and Facilities organization. GREF is responsible for managing Amazon's workplace, facilities, transportation, and related operational services across a large and complex global footprint. This role offers a unique opportunity to work on science problems where Operations Research, forecasting, machine learning, and decision optimization come together. Example problem areas include optimizing employee cab routes, forecasting transportation demand, improving facility capacity planning, optimizing vendor and resource allocation, reducing operational cost, improving service reliability, and building scalable decision systems for real-world planning problems. Key job responsibilities As a Research Scientist, you will translate ambiguous business problems into structured mathematical and scientific solutions. You will work with business, product, engineering, and operations teams to define the problem, identify the right modeling approach, build scalable algorithms, and help productionize solutions that influence operational decisions. The ideal candidate will have strong depth in Operations Research, applied mathematics, optimization, statistics, and machine learning, along with the ability to operate independently in a fast-moving environment. This role is well suited for a scientist who wants to work on practical, high-impact problems with large-scale data, complex constraints, and measurable business outcomes. Basic Qualifications: - PhD, or Master's degree and 4+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems

Read the full description at www.amazon.jobs. FewerJobs shows a source-linked preview and links to the original posting.