Amazon.com Services LLC

Research Science, transportation and logistics

Sr.ResearchScientist,CommunityOperations

$159–215k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Research Scientist, Community Operations at Amazon.com Services LLC. Skills: Causal inference, Predictive modeling, ML forecasting, Community intelligence. Integrate community risk signals. Quantify performance lift”

What You'll Achieve.

Influence senior leadership strategy; Create multiplicative business impact

Industry & Context.

Research Science, transportation and logistics
Problems you'll solve

Scientific rigor; Pragmatic execution; Creative problem solving

What They're Looking For.

Must Have

3+ years scientific principles application, Master's degree and 5+ years quantitative field research, Experience with big data technologies, Knowledge of quantitative approaches, Knowledge of AWS platforms, Experience in machine-learning and statistical modeling tools

Nice to Have

Experience converting research studies, Experience with discrete and continuous optimization, Experience applying quantitative analysis

What You'll Do.

Integrate community risk signals

Quantify performance lift

Define integration architecture

Design and execute experiments

Measure operational policy effects

Build automated causal discovery systems

Uncover relationships

Design and deploy production ML forecasting systems

Mentor junior scientists

Contribute to research culture

How You'll Work.

Team & Collaboration

Operational science teams; Product teams; Operational scientists; Technical leaders; Science organizations

Communication Scope

Actionable insights; Senior leadership strategy

Full Job Description

Amazon's Community Intelligence Science & Engineering (CISE) team operates at the intersection of computational social science, artificial intelligence, and operational planning. We build and validate models that quantify how Amazon's operational presence impacts local communities, and embed those signals into core planning models that drive Last Mile, Middle Mile, and site-level decisions across our network. You'll work at the forefront of applied AI and causal inference, building systems that influence decisions affecting thousands of communities daily. This role offers a unique opportunity to shape how the world's most customer-centric company measures, forecasts, and reduces operational risk to the communities we serve. A successful Senior Research Scientist on our team demonstrates exceptional scientific rigor combined with pragmatic execution. You will design the causal frameworks and predictive models that systematically embed these community signals into core operational planning processes where they do not yet exist. This means balancing breakthrough research with production deployment, collaborating across multiple science organizations, and translating complex analytical findings into actionable insights that influence senior leadership strategy. As a Senior Research Scientist, you will partner with product teams, operational scientists, and technical leaders across Last Mile Planning Science, Middle Mile Relay, Safety, and Worldwide Operations Security to identify opportunities where community intelligence creates multiplicative business impact. Key job responsibilities - Collaborate with operational science teams to integrate community risk signals into existing operational models and decision-making systems, with a focus on quantifying performance lift and defining integration architecture - Design and execute experiments to measure how community-impacting operational policies affect business outcomes - Build automated causal discovery systems leveragi

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