{"id":1388265,"url":"https://alion.io/job/oracle-senior-data-scientist-demand-planning-and-forecasting","title":"Senior Data Scientist - Demand Planning and Forecasting","company":{"id":53,"name":"Oracle","domain":"oracle.com","url":"https://alion.io/company/oracle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":88,"open_postings":232,"ghost_share":0,"stale_share":0.69,"repost_share":0.004,"time_to_fill_p50_days":6,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"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":100700,"max":209500,"currency":"USD","period":"year","gross":null,"usd_annual":209500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-09-25T23:24:55Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-21T18:29:44Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"About the Role\nWe are looking for a Senior Data Scientist to develop data-driven forecasting and analytics solutions for networking hardware and data center infrastructure planning.\nThis role sits at the intersection of data science, demand forecasting, planning, and cloud infrastructure. You will work with large and complex datasets to understand demand drivers, develop forecasting models, improve the quality of the demand signal, and provide analytical insights that support hardware procurement, capacity planning, and data center build decisions.\nThe role is highly hands-on. You will work closely with Demand Planning, Networking Engineering, Data Center Planning, Supply Chain, Product, and Finance teams to turn business and engineering questions into analytical models and actionable insights.\n Develop and maintain demand forecasting models for networking hardware and data center infrastructure across short- and long-term planning horizons.\n\nAnalyze historical demand, deployment trends, data center build plans, engineering inputs, product roadmaps, and other signals to identify key demand drivers.\n\nDevelop time-series, statistical, machine learning, and other forecasting approaches appropriate for different products and planning scenarios.\n\nMeasure and improve forecast accuracy, bias, stability, and confidence across products and planning horizons.\n\nBuild analytical models to evaluate base, upside, downside, and what-if scenarios and quantify their impact on hardware demand.\n\nPartner with demand planners to translate analytical outputs into practical planning recommendations and improve forecasting processes.\n\nDevelop models that connect data center builds, deployment plans, network capacity, product requirements, BOMs, and SKU-level demand.\n\nInvestigate anomalies and changes in the demand signal, including unexpected demand shifts, duplicate signals, missing data, and inconsistent planning assumptions.\n\nBuild scalable datasets and analytical pipelines using SQL and Python to support forecasting and planning workflows.\n\nDevelop reusable analytical frameworks, dashboards, and tools that improve visibility into demand trends, forecast performance, and planning risks.\n\nWork with Data Engineering and other technical teams to improve data quality, data availability, and the reliability of planning data.\n\nAutomate recurring analysis, forecasting, reconciliation, and reporting processes.\n\nApply machine learning, optimization, simulation, and AI/ML techniques where they provide meaningful improvements to planning or decision-making.\n\nCommunicate analytical findings clearly to planners, engineers, business partners, and senior leadership.\n\nWork independently on ambiguous problems, define the appropriate analytical approach, and drive projects from problem definition through implementation and adoption.\n\nContribute to the development of modern, scalable data science and forecasting capabilities for demand planning.\n\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, Operations Research, Economics, or a related quantitative field.\n\n5+ years of experience in data science, applied science, forecasting, demand planning analytics, operations research, or a related quantitative discipline.\n\nStrong hands-on programming experience with Python and advanced SQL.\n\nExperience developing and deploying forecasting or predictive models using real-world business data.\n\nStrong understanding of statistical modeling, time-series forecasting, model evaluation, and experimental or analytical methodologies.\n\nExperience working with large and complex datasets and performing data exploration, feature engineering, modeling, and analysis.\n\nExperience translating business or operational problems into quantitative models and actionable recommendations.\n\nExperience working with planning, supply chain, capacity planning, demand forecasting, or other operational decision-making processes.\n\nStrong communication skills and the ability to work effectively with both technical and non-technical stakeholders.\n\nPreferred Qualifications\nExperience with demand planning or forecasting for hardware, cloud infrastructure, networking, semiconductor, or data center environments.\n\nExperience working with SKU-level demand, BOMs, product lifecycles, NPI, EOL/EOS, or hardware product transitions.\n\nExperience connecting data center build plans or deployment schedules to hardware demand forecasts.\n\nExperience with networking hardware such as switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components.\n\nExperience with advanced forecasting methods including probabilistic forecasting, hierarchical forecasting, causal modeling, gradient boosting, deep learning, or other machine learning techniques.\n\nExperience with scenario modeling, optimization, simulation, or capacity planning.\n\nExperience building production-quality data pipelines, analytical datasets, or forecasting platforms.\n\nExperience with cloud data platforms, distributed data processing, or large-scale analytics.\n\nExperience applying GenAI/LLMs or AI agents to analytics, forecasting, or planning workflows.\n\nExperience communicating analytical results and recommendations to senior engineering, business, or executive audiences.\n\n Disclaimer:Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.\nRange and benefit information provided in this posting are specific to the stated locations only\nUS: Hiring Range in USD from: $100,700 to $209,500 per annum. May be eligible for bonus and equity.\nOracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.\nCandidates are typically placed into the range based on the preceding factors as well as internal peer equity.\nOracle US offers a comprehensive benefits package which includes the following:\n1. Medical, dental, and vision insurance, including expert medical opinion\n2. Short term disability and long term disability\n3. Life insurance and AD&D\n4. Supplemental life insurance (Employee/Spouse/Child)\n5. Health care and dependent care Flexible Spending Accounts\n6. Pre-tax commuter and parking benefits\n7. 401(k) Savings and Investment Plan with company match\n8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.\n9. 11 paid holidays\n10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.\n11. Paid parental leave\n12. Adoption assistance\n13. Employee Stock Purchase Plan\n14. Financial planning and group legal\n15. Voluntary benefits including auto, homeowner and pet insurance\nThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.\nAs part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.","description_format":"text","description_chars":7921,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["CRM Software","Cloud Platforms (IaaS & PaaS)","ERP & Business Management Software","HR & Payroll Software"],"lifecycle":[{"event":"open","at":"2026-09-28T11:05:07Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1,038 · green card filings: 729","filings_12m":1038,"filings_prev_12m":1197,"green_card_filings_12m":729,"median_offered_wage_usd":143374,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":16}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.291,"p_room":0.35,"age_days":25,"expected_fill_days":6,"reasons":["conf:3","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":209500,"is_top_pay":true},"html_url":"https://alion.io/job/oracle-senior-data-scientist-demand-planning-and-forecasting","json_url":"https://alion.io/job/oracle-senior-data-scientist-demand-planning-and-forecasting.json","meta":{"generated_at":"2026-10-21T20:22:26Z","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":28955,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":53},"rest":"https://alion.io/mcp/rest/get_company?id=53"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Foracle-senior-data-scientist-demand-planning-and-forecasting"},{"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%2Foracle-senior-data-scientist-demand-planning-and-forecasting"},{"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%2Foracle-senior-data-scientist-demand-planning-and-forecasting"},{"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/oracle-senior-data-scientist-demand-planning-and-forecasting\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Foracle-senior-data-scientist-demand-planning-and-forecasting"}]}