Data Scientist 5 - Montana Staffing : Job Details

As a Lead Data Scientist, you'll shape next-gen AI capabilities for Clinical Data Exchange (CDeX)where payers and providers collaborate seamlessly. You'll build models that power prior authorization, risk adjustment, claims adjudication, and moremaking data work smarter across the healthcare ecosystem. You'll also help reduce the administrative burden on clinicians, using AI to automate documentation, extract insights, and deliver real-time intelligence when it matters most. From classical ML to generative models, you'll lead with purpose designing scalable, responsible AI for real-world impact.

Partner with Product Managers to turn ambitious product visions into AI-powered solutions that reshape healthcare operations and experiences. Collaborate closely with Clinical Terminologists to ensure models are clinically sound and aligned with evolving healthcare standards and vocabularies. Work hand-in-hand with UI Engineers and ML Engineers to bring AI models to life in intuitive, responsive, and scalable products. Lead the full lifecycle of AI developmentfrom ideation and research to deployment and monitoring. Apply the latest advancements in machine learning, deep learning, and generative AI to deliver innovation at scale. Architect high-quality, production-ready AI pipelines, ensuring robustness, accuracy, and compliance with healthcare regulations. Develop clean, scalable code and drive best practices across the AI engineering stack. Mentor and inspire a team of data scientists, fostering technical growth and leadership. Contribute to planning, reviews, and retrospectivesdriving continuous improvement and cross-team alignment. Anticipate and navigate technical and organizational risks to ensure project success and sustained impact.

Proven experience architecting and deploying scalable AI solutions in production, with measurable impact across complex, real-world healthcare or enterprise systems. Deep technical fluency in machine learning and deep learning architectures, including Transformers and other neural network frameworksplus the intuition to choose the right tool for the right problem. Hands-on expertise in Large Language Models (LLMs) and generative AI, with experience in advanced prompt engineering, instruction fine-tuning, and parameter-efficient tuning techniques. Proficiency in Python is a must, with experience applying it to build and deploy AI/ML models and develop robust, scalable solutions. Strong foundation in clinical data, with the ability to extract meaning from structured and unstructured sources and align with interoperability standards such as FHIR, C-CDA, or HL7. Experience building models that support healthcare-critical processes like prior authorization, risk adjustment, clinical summarization, or claims adjudication is a major advantage. Experience in building a wide range of AI modelsincluding classical ML models, semantic search, and information retrieval systemsto power intelligent, high-precision workflows. Familiarity with AI evaluation strategies, including data labeling, annotation workflows, human-in-the-loop review, and longitudinal model monitoring in high-stakes environments. A natural drive to stay ahead of the curve, with the curiosity to explore cutting-edge research and the discipline to translate it into resilient, production-ready systems. A track record of technical leadership, including mentoring junior and senior scientists, championing innovation, and cultivating an environment of curiosity and excellence. Bonus: a strong portfolio of patents, publications, or open source contributions, reflecting thought leadership and a commitment to pushing the field forward.

Strong understanding of the healthcare ecosystem and proven experience delivering AI-driven solutions tailored to healthcare applications, transforming patient care and operational efficiency. Familiarity with the latest advancements in Natural Language Processing (NLP) and Generative AI, empowering you to create advanced AI systems that interpret, generate, and interact with complex healthcare data. Proven ability to design, deploy, and scale these solutions on cloud platforms, with preference for OCI (Oracle Cloud Infrastructure), though experience with AWS and Azure is also highly valued.

A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related discipline, with a deep dive into Machine Learning and Deep Learning through your dissertation or final project, coupled with 12+ years of hands-on experience, is highly valuedbut not a dealbreaker, OR A master's or bachelor's degree in a relevant field, paired with 12+ years of practical, impactful experience in the field, will also make you a strong contender.

Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only.

US: Hiring Range in USD from: $109,200 to $223,400 per annum. May be eligible for bonus and equity. Oracle 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. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. 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. 9. 11 paid holidays 10. 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. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance

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