# Sr Data Scientist  at Amazon

Amazon is hiring a Sr Data Scientist  in Santa Clara, United States. It pays $183k-$248k a year and Level rates it Little AI ●○○○; you can [apply on Amazon](https://jobsbylevel.com/go/91226246-3c84-48dd-b27e-3052a48fd067?utm_medium=ai-agent).

AI Level 1, AI centrality 4 out of 100. US, CA, Santa Clara.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 1 (score 4 out of 100)
- Location: US, CA, Santa Clara
- Salary: $183k-$248k
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/91226246-3c84-48dd-b27e-3052a48fd067?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-data-scientist-at-amazon-fe064d

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/sr-data-scientist-at-amazon-fe064d

## Description

About Amazon Quick: Amazon Quick is an enterprise AI workspace that brings together intelligent agents, deep research, business intelligence, and workflow automation. It lets employees find answers across their company's data, apps, and the web, turn insights into action, and automate repetitive work. Organizations of every size rely on Quick to make faster, better-informed decisions with AI they can trust. About the Team: The Quick Data team builds the high-quality datasets that power and measure Amazon Quick. Our work spans human evaluation, Responsible AI safeguards, Retrieval-Augmented Generation (RAG), and benchmarking. It makes sure Quick's generative AI features are enterprise-ready, safe, and effective at scale. The team includes data scientists, engineers, language engineers, linguists, and program managers who partner closely with science, engineering, and product teams. Customer obsession and high standards drive everything the team delivers. About the Role The Quick Data team is hiring a Data Scientist II to lead evaluation and benchmarking data development for Quick features. In this role, you will design the datasets, metrics, and evaluation frameworks that show whether Quick meets customer needs. Your insights will shape product direction and model improvements. Key job responsibilities Design and build evaluation and benchmark datasets Define quality metrics and evaluation frameworks, including human evaluation, model-based evaluation (LLM-as-a-Judge), and checks on how well the two correlate Run human annotation programs from start to finish: write guidelines, measure inter-annotator agreement, and control data quality Analyze model and agent performance to find gaps, root causes, and the highest-impact improvements Partner with science, engineering, and product teams to turn evaluation results into launch decisions and roadmap priorities Present findings and recommendations to senior leadership About the team AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic qualifications - 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 as a leader and mentor on a data science team Preferred qualifications - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience evaluating LLMs, RAG systems, or agentic AI applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff;

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/sr-data-scientist-at-amazon-fe064d

Source: https://jobsbylevel.com/jobs/sr-data-scientist-at-amazon-fe064d

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