{"id":4171327,"url":"https://alion.io/job/amazon-sr-data-scientist-2","title":"Sr Data Scientist","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":4651,"ghost_share":0.001,"stale_share":0.889,"repost_share":0.003,"time_to_fill_p50_days":31,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":183000,"max":247600,"currency":"USD","period":"year","gross":null,"usd_annual":247600},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"LLM","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"R","optional":true},{"name":"Shiny","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T14:43:18Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nAbout 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.\nAbout 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.\nKey job responsibilities\nDesign and build evaluation and benchmark datasets\nDefine quality metrics and evaluation frameworks, including human evaluation, model-based evaluation (LLM-as-a-Judge), and checks on how well the two correlate\nRun human annotation programs from start to finish: write guidelines, measure inter-annotator agreement, and control data quality\nAnalyze model and agent performance to find gaps, root causes, and the highest-impact improvements\nPartner with science, engineering, and product teams to turn evaluation results into launch decisions and roadmap priorities\nPresent findings and recommendations to senior leadership\nAbout the team\nAWS 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.\nInclusive Team Culture\nHere 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.\nMentorship & Career Growth\nWe’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.\nWork/Life Balance\nWe 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.\nBasic qualifications\n- 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\n- 4+ years of data scientist experience\n- Experience as a leader and mentor on a data science team\nPreferred qualifications\n- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience\n- Experience managing data pipelines\n- Experience evaluating LLMs, RAG systems, or agentic AI applications\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nThe 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. 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