{"id":3989328,"url":"https://alion.io/job/amazon-data-scientist-i-nest","title":"Data Scientist I, NEST","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":4570,"ghost_share":0,"stale_share":0.889,"repost_share":0.003,"time_to_fill_p50_days":30,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Hadoop","optional":true},{"name":"Spark","optional":true},{"name":"SPSS","optional":true}],"status":"live","first_seen_at":"2026-11-09T22:47:10Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T15:05:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Are you curious about turning complex data into actionable insights that shape how millions of customers experience Amazon? Do you enjoy building analytical models, testing hypotheses, and seeing your work drive real business decisions?\nWe are looking for a Data Scientist to join our team at Amazon. In this role, you will apply statistical techniques, machine learning, and data analysis to solve well-defined business problems and deliver measurable improvements. You will work with large-scale datasets from multiple sources, build and validate models, and create metrics that quantify impact. This is an opportunity for a self-starter who is comfortable with ambiguity in data, thrives on collaboration with science and engineering partners, and is eager to grow their craft in a fast-paced environment.\nKey job responsibilities\n- Use statistical methods, machine learning algorithms, and data analysis techniques to translate well-defined business problems into data science solutions that improve processes and systems.\n- Gather, clean, and integrate large datasets from multiple sources to build and validate models, ensuring data integrity and adherence to best practices throughout the pipeline.\n- Design and deliver metrics, visualizations, and reports that compare results against benchmarks and original project goals, enabling clear and informed decision-making for stakeholders.\n- Collaborate with business, science, and engineering teams to understand customer needs, identify opportunities, and develop scalable analytical solutions using tools such as Python, R, or SQL.\n- Evaluate opportunities to integrate generative artificial intelligence tools into workflows, refining outputs and applying responsible practices to augment productivity and solution quality.\nAbout the team\nOur team is focused on using data science to help Amazon make smarter, faster decisions that benefit customers. We build analytical models and machine learning solutions that operate at scale, and we value rigorous methodology paired with clear communication. You will join a collaborative group of scientists and engineers who are passionate about learning from one another and pushing the boundaries of what data can do. If you are excited about growing your career in an inclusive, supportive environment where your contributions have tangible impact, we would love to hear from you.\nBasic qualifications\n- 1+ 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- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience\n- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience\n- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)\nPreferred qualifications\n- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)\n- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R\n- Knowledge of machine learning concepts and their application to reasoning and problem-solving\n- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)\n- Experience working with or evaluating AI systems\n- Experience applying quantitative analysis to solve business problems and making data-driven business decisions\n- Experience effectively communicating complex concepts through written and verbal communication\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\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. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually","description_format":"text","description_chars":4961,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Cloud Platforms (IaaS & PaaS)","Logistics","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-11-09T22:47:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 23,961 · green card filings: 81","filings_12m":23961,"filings_prev_12m":24161,"green_card_filings_12m":81,"median_offered_wage_usd":161211,"route":null,"cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":2251}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:2","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":null,"html_url":"https://alion.io/job/amazon-data-scientist-i-nest","json_url":"https://alion.io/job/amazon-data-scientist-i-nest.json","meta":{"generated_at":"2026-11-10T15:47:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2247,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":19},"rest":"https://alion.io/mcp/rest/get_company?id=19"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famazon-data-scientist-i-nest"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Famazon-data-scientist-i-nest"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Famazon-data-scientist-i-nest"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/amazon-data-scientist-i-nest\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-data-scientist-i-nest"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3989328}},{"tool":"search_jobs","arguments":{"company":"amazon.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3989328},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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