{"id":2045744,"url":"https://alion.io/job/amazon-senior-data-scientist-iii-community-intelligence-science-engineering","title":"Senior Data Scientist III, Community Intelligence Science & Engineering","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":"A","score":100,"open_postings":24,"ghost_share":0,"stale_share":0,"repost_share":0.042,"time_to_fill_p50_days":19,"computed_at":"2026-10-13T05:45:00Z"}},"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":["Nashville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175100,"max":236900,"currency":"USD","period":"year","gross":null,"usd_annual":236900},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"MATLAB","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true}],"status":"live","first_seen_at":"2026-10-07T19:26:12Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T09:43:57Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Amazon's Community Intelligence Science & Engineering team operates at the intersection of computational social science, artificial intelligence, and operational excellence. We analyze how Amazon's presence impacts local communities and embed those insights into core operational models. You'll work at the forefront of applied AI and causal inference, building systems that influence decisions affecting thousands of communities daily. \nThis role offers a unique opportunity to shape how the world's most customer-centric company builds sustainable relationships with the communities we serve. A successful Data Scientist on our team demonstrates exceptional scientific rigor combined with pragmatic execution. You'll balance breakthrough research with production deployment, collaborate across multiple science organizations, and translate complex analytical findings into actionable insights that influence senior leadership strategy.\nAs a Senior Data Scientist, you will partner with product teams, scientists, and technical leaders across Last Mile, Middle Mile, WW Ops Security, WW Real Estate, and other organizations to identify opportunities where community intelligence creates multiplicative business impact. \nKey job responsibilities\n- Design and deploy production ML forecasting systems with extended prediction horizons using multi-modal data sources\n- Build and scale AI-powered analytics platforms that process large volumes of unstructured data from diverse sources including social media, traditional media, and internal systems\n- Collaborate with operational science teams to integrate analytical insights and predictive signals into existing operational models and decision-making systems\n- Build automated causal discovery systems leveraging knowledge graphs, LLMs, and document understanding to uncover relationships between business actions and outcomes\n- Develop NLP and GenAI applications including event detection, sentiment analysis, cross-platform clustering, and multilingual insight synthesis\n- Partner with engineering teams to productionize models using AWS services (SageMaker, EMR, Lambda, Kinesis, Glue) with clear POC-to-production handoff criteria\n- Mentor junior scientists and contribute to building a research culture that balances high-risk, high-reward innovation with reliable product delivery\n- Author internal and externally-facing scientific publications and technical documents\nA day in the life\nAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. \nThe benefits that generally apply to regular, full-time employees include: \n- Medical, Dental, and Vision Coverage \n- Maternity and Parental Leave Options \n- Paid Time Off (PTO) \n- 401(k) Plan \nIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! \nAt Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!\nAbout the team\nAmazon Community Operations (CommOps) works to anticipate our communities’ needs and build positive net impact anywhere we operate. From Operational Excellence to Community Outreach, Community Operations is defining what it means to be a positive presence in the community. This is a fast-paced, start-up environment where creative problem solving, operational excellence, and building relationships are the core of our day-to-day work.\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 with statistical models e.g. multinomial logistic regression\n- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)\n- Experience working with scientists, economists, software developers, or product managers\nPreferred qualifications\n- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)\n- Experience managing data pipelines\n- Experience as a leader and mentor on a data science team\n- Experience documenting modeling for technical and business leaders\n- Experience using AI-assisted development tools in academic or professional settings\n- Experience contributing to publications at top-tier peer-reviewed conferences or journals\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, NY, New York - 175,100.00 - 236,900.00 USD annually\nUSA, TN, Nashville - 151,200.00 - 204,600.00 USD annually\nUSA, VA, Arlington - 159,200.00 - 215,300.00 USD annually\nUSA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually","description_format":"text","description_chars":6163,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"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":"2026-10-07T19:26:12Z"}],"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":"2026-10-03T21:08:04+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":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.896,"p_room":1,"age_days":5,"expected_fill_days":19,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":236900,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-senior-data-scientist-iii-community-intelligence-science-engineering","json_url":"https://alion.io/job/amazon-senior-data-scientist-iii-community-intelligence-science-engineering.json","meta":{"generated_at":"2026-10-13T13:42:29Z","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":21124,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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-senior-data-scientist-iii-community-intelligence-science-engineering"},{"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-senior-data-scientist-iii-community-intelligence-science-engineering"},{"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-senior-data-scientist-iii-community-intelligence-science-engineering"},{"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-senior-data-scientist-iii-community-intelligence-science-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-senior-data-scientist-iii-community-intelligence-science-engineering"}]}