Applied Scientist I, Customer Delivery Excellence Science

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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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

43% above the BLS national median for data and ml aggregate.

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

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Applied Scientist I, Customer Delivery Excellence Science Bellevue, Washington, USA Join Amazon's Customer Delivery Experience (CDE) Science Team as a Applied Scientist I to improve global logistics through data-driven modeling and analysis. Our team applies advanced machine learning and statistical techniques to enhance delivery experiences for millions of customers worldwide. Working collaboratively with Amazon's logistics operations teams, you will implement proven ML solutions and contribute to continuous improvements across our global fulfillment and delivery network. Key job responsibilities - Build and validate predictive models for delivery time estimation using historical delivery data, weather patterns, and traffic information - Implement models to identify delivery exceptions and risk factors using established ML frameworks - Partner with logistics operations teams to understand business requirements and translate them into modeling approaches - Document model methodologies, assumptions, and limitations for team knowledge sharing - Participate in code reviews and contribute to team best practices - Seek feedback from senior team members on proposed solution approaches and methodologies A day in the life The CDE Science Team values diverse perspectives and believes the best models come from teams with varied backgrounds and experiences. You'll have an assigned mentor from day one, regular 1:1s with your manager, and access to Amazon's ML University for continued learning. We support a healthy work-life balance and encourage you to invest in your professional growth through conference attendance and internal science forums. About the team The Customer Delivery Experience (CDE) Science Team combines advanced machine learning with transportation logistics expertise to

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