{"id":2927617,"url":"https://alion.io/job/opower-principal-applied-scientist","title":"Principal Applied Scientist","company":{"id":1813620,"name":"Opower","domain":"opower.com","url":"https://alion.io/company/opower","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":78,"open_postings":92,"ghost_share":0,"stale_share":0.88,"repost_share":0.011,"time_to_fill_p50_days":25,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":126200,"max":264100,"currency":"USD","period":"year","gross":null,"usd_annual":264100},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"JAX","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Fine-tuning","optional":true},{"name":"RAG","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-09-14T16:09:26Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-03T20:20:46Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Oracle Health Data Intelligence is building AI-powered products that help healthcare organizations make better, faster, and more informed decisions. We are seeking a Principal Applied Scientist to lead the development of scalable machine learning and AI solutions across a broad range of product and platform challenges.\nThis is a hands-on technical leadership role for an experienced scientist who can turn ambiguous, high-impact business and customer problems into robust, production-ready models and systems. The role is broadly focused on applied AI/ML-not limited to a single technique such as LLMs-and has a strong engineering and coding bar comparable to a senior/principal Applied Scientist role.\nWhat You’ll Do\nLead the end-to-end development of machine learning and AI solutions: problem formulation, data analysis, feature development, modeling, offline evaluation, experimentation, deployment, and monitoring.\nDesign and build high-quality, maintainable production code in Python and related technologies. Write scalable, testable software rather than research-only prototypes.\nApply appropriate techniques across machine learning, deep learning, NLP, information retrieval, ranking, forecasting, anomaly detection, optimization, generative AI, and LLM-based systems.\nDevelop evaluation frameworks that measure model quality, reliability, safety, fairness, latency, and business or clinical impact.\nDrive rigorous experimentation, including experiment design, statistical analysis, error analysis, ablation studies, and root-cause investigation.\nPartner with software engineers to productionize models, define service interfaces, improve inference performance, and establish monitoring and retraining workflows.\nWork closely with product, data engineering, clinical domain, security, and compliance partners to translate real-world needs into durable AI capabilities.\nSet technical direction for complex initiatives, make sound tradeoffs under ambiguity, and influence roadmap decisions through data and scientific judgment.\nMentor applied scientists and engineers through design reviews, code reviews, technical guidance, and modeling best practices.\nStay current with relevant research and evaluate emerging methods pragmatically, adopting innovations when they create measurable product value.\n Basic Qualifications\nPhD in Computer Science, Machine Learning, Statistics, Operations Research, a related quantitative field, or equivalent practical experience; OR a Master’s degree with 6+ years of relevant industry experience.\n8+ years of experience applying machine learning, data science, or AI techniques to real-world product or business problems.\nStrong programming ability in Python, including writing clean, efficient, production-quality code with appropriate testing and documentation.\nExperience building and shipping machine learning systems, including data pipelines, training workflows, inference services, evaluation, and model monitoring.\nDeep understanding of core machine learning concepts, such as supervised and unsupervised learning, optimization, representation learning, model selection, experimentation, and statistical inference.\nExperience with one or more ML frameworks such as PyTorch, TensorFlow, JAX, scikit-learn, Spark, or equivalent tools.\nDemonstrated ability to independently lead ambiguous technical projects and influence cross-functional stakeholders.\nStrong written and verbal communication skills, including the ability to explain technical decisions to technical and non-technical audiences.\nPreferred Qualifications\nExperience with generative AI, large language models, retrieval systems, RAG, agentic workflows, or model fine-tuning and evaluation.\nExperience with NLP, search, recommendation, ranking, time-series modeling, causal inference, or optimization.\nExperience designing AI systems for high-reliability, privacy-sensitive, regulated, or customer-facing environments.\nExperience with cloud-scale distributed systems and ML platforms.\nExperience mentoring senior technical contributors and raising engineering and scientific standards across a team.\nHealthcare, life sciences, enterprise SaaS, or similarly complex-domain experience.\nLevel: IC4\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: $126,200 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.\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":6829,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data & Analytics","Energy & Utilities","Energy Efficiency","Customer & Retention Analytics"],"lifecycle":[{"event":"open","at":"2026-10-20T13:53:25Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.522,"p_room":0.36,"age_days":49,"expected_fill_days":25,"reasons":["conf:2","stale_co","wave","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":264100,"is_top_pay":true},"html_url":"https://alion.io/job/opower-principal-applied-scientist","json_url":"https://alion.io/job/opower-principal-applied-scientist.json","meta":{"generated_at":"2026-11-04T01:35:08Z","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":2398,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":1813620},"rest":"https://alion.io/mcp/rest/get_company?id=1813620"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fopower-principal-applied-scientist"},{"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%2Fopower-principal-applied-scientist"},{"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%2Fopower-principal-applied-scientist"},{"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/opower-principal-applied-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fopower-principal-applied-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2927617}},{"tool":"search_jobs","arguments":{"company":"opower.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2927617},"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. Docs: https://alion.io/developers"}}