Sr Data Scientist

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

• 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

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Santa Clara - 183,000.00 - 247,600.00 USD annually

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