{"id":1500169,"url":"https://alion.io/job/amazon-data-scientist-ii-amazon-private-brands-pbi-selection-guidance","title":"Data Scientist II, Amazon Private Brands, PBI Selection Guidance","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","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":4621,"ghost_share":0,"stale_share":0.891,"repost_share":0.002,"time_to_fill_p50_days":26,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":136000,"max":184000,"currency":"USD","period":"year","gross":null,"usd_annual":184000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Perl","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-11-05T21:38:06Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":38},"description":"Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.\nThe Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using novel technology, to solve some of the toughest business problems at Amazon.\nAs a Data Scientist you will investigate business problems using data, invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes.\nThis is a unique, high visibility opportunity for someone who wants to develop ambitious science solutions and have direct business and customer impact.\nKey job responsibilities\nPartner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.\nPerform data analysis and build data pipelines to drive business decisions.\nInvent novel science solutions, develop prototypes, and deploy production software to solve business problems.\nReview and guide science solutions across the team.\nPublish and socialize your and the team's research across Amazon and external avenues as appropriate\nLeverage industry best practices to establish repeatable applied science practices, principles & processes.\nBasic qualifications\n- 2+ years of data scientist experience\n- 3+ 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- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance 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)\n- Experience applying theoretical models in an applied environment\nPreferred qualifications\n- Knowledge of machine learning concepts and their application to reasoning and problem-solving\n- Experience in Python, Perl, or another scripting language\n- Experience in a ML or data scientist role with a large technology company\n- Experience working on multi-team, cross-disciplinary projects\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.\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. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, CA, San Diego - 136,000.00 - 184,000.00 USD annually","description_format":"text","description_chars":5542,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"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":"2026-09-30T03:40:58Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 16,768 · green card filings: 56","filings_12m":16768,"filings_prev_12m":16262,"green_card_filings_12m":56,"median_offered_wage_usd":162609,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":1907}],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.462,"p_room":0.55,"age_days":37,"expected_fill_days":26,"reasons":["conf:5","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":{"stated_usd_annual":184000,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-data-scientist-ii-amazon-private-brands-pbi-selection-guidance","json_url":"https://alion.io/job/amazon-data-scientist-ii-amazon-private-brands-pbi-selection-guidance.json","meta":{"generated_at":"2026-11-06T00:00:22Z","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":16,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-ii-amazon-private-brands-pbi-selection-guidance"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-ii-amazon-private-brands-pbi-selection-guidance"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-ii-amazon-private-brands-pbi-selection-guidance"},{"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-ii-amazon-private-brands-pbi-selection-guidance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-data-scientist-ii-amazon-private-brands-pbi-selection-guidance"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1500169}},{"tool":"search_jobs","arguments":{"company":"amazon.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1500169},"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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