Do you want to be a part of changing healthcare?
Oracle is excited to be using our resources, knowledge, and expertise—as well as our successes in other industries—and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it’s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care.

Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you’ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences.

About the Team

As part of the Oracle Health Foundations Organization, you’ll join a high-impact Operational Intelligence team focused on transforming operational data into proactive, AI-driven decision systems. We work across incidents, change records, support tickets, telemetry, and performance signals to improve the reliability, resilience, and stability of Oracle Health’s products.

Our team is advancing anomaly detection, statistical signal modeling, and GenAI-powered intelligence to move beyond reactive alerting toward contextual insight generation and semi-autonomous operational workflows. We are building scalable capabilities on the Oracle AI Data Platform that detect performance abnormalities early, surface root-cause insights, reduce operational toil, and enable proactive intervention at scale.

As a Senior Data Scientist, you will play a leading role in shaping the evolution of our operational AI systems. You will design and productionize advanced anomaly detection models, develop intelligent data products, and collaborate closely with engineering, platform, and operations teams. This is a high-ownership, high-visibility role where applied statistical rigor meets real-world production impact — helping define the future of agentic operational intelligence within Oracle Health.

• Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative field (Bachelor’s with equivalent experience considered).

• 8+ years of experience developing and deploying machine learning models in production environments.

• Strong expertise in statistical modeling, anomaly detection, and time-series analysis, with experience applying these techniques to large-scale operational data.

• Proficiency in Python and modern ML frameworks, with experience building reproducible modeling pipelines and implementing sound evaluation and experimentation practices.

• Working knowledge of large language models (LLMs), retrieval-augmented generation (RAG) pipelines, and modern agent frameworks, including their evaluation and integration into production systems.

• Experience contributing to intelligent automation or agent-driven systems where ML or LLM components inform or trigger workflow decisions under defined guardrails.

• Strong communication skills and demonstrated ability to partner with engineering teams to productionize, monitor, and continuously improve models.

---

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

---

Seeking a Data Scientist to advance operational intelligence across Oracle Health products. This role will design, develop, and productionize advanced anomaly detection models and GenAI-powered intelligence systems built on operational data (incidents, change records, support tickets, telemetry, and performance signals) to improve reliability, resilience, and proactive performance awareness. The ideal candidate has a strong foundation in statistical modeling and machine learning, with experience translating complex, high-volume operational data into scalable, production-ready solutions. This role will lead the evolution of our capabilities from deterministic alerting to statistically robust detection, contextual insight generation, and semi-autonomous operational workflows under defined guardrails. IC4 Career Level

---

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

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

---

Responsibilities

• Design, develop, and lead advanced anomaly detection and statistical modeling initiatives across operational data sources (incidents, change records, support tickets, telemetry, and performance signals).
• Build and productionize machine learning models that proactively identify performance abnormalities, detect emerging risk patterns, and improve operational resilience.
• Develop GenAI-powered intelligence capabilities, including contextual insight generation, automated summarization, signal correlation, and decision-support workflows.
• Drive the evolution from deterministic alerting to statistically robust, scalable detection and semi-autonomous operational workflows under defined guardrails.
• Own the end-to-end data science lifecycle, including data exploration, feature engineering, model development, validation, experimentation, deployment, monitoring, and continuous improvement.
• Partner closely with engineering, SRE, product, and operations teams to translate complex operational challenges into scalable, production-ready AI solutions.
• Influence architectural decisions related to data pipelines, model serving, observability integration, and AI platform utilization.
• Mentor and provide technical leadership to junior data scientists and engineers, promoting modeling rigor, experimentation discipline, and production best practices.

• Stay current with advancements in anomaly detection, time-series modeling, applied GenAI, and agentic AI systems—leading evaluation and adoption where appropriate.

  IC4 Career Level