Principal Data Scientist
Listed on 2026-02-28
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IT/Tech
Data Engineer, Data Scientist
Job Description
The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Principal Data Scientist to tackle complex technical challenges of the Infrastructure Build processes, building sophisticated analytical solutions to drive optimization and efficiency. The candidate should have deep expertise in researching disparate data sources, setting up large-scale data pipelines, and deploying large language models in OCI's growing Infrastructure space.
As OCI continues to grow the customer base and regions, we need hands‑on scientists who can lead data‑driven initiatives to ensure that OCI's Infrastructure is in‑tune to support new regions/ expansions. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions and has a proven track record of delivering data‑driven solutions across a highly complex environment involving multiple organizations, departments and teams.
The Principal Data Scientist will be responsible for statistical analyses, ML/large language model deployment, forecasting models and lead business intelligence initiatives that impact Infrastructure and Networking for OCI. In addition, this specific role requires a passion for solving high‑impact problems and the ability to jump into any in‑flight project and get it on the rails.
Responsibilities- Explore and research data and answer strategic business questions, with data transformation, statistical analyses, or machine learning methods
- Contribute to development and fine‑tuning LLMs models in the context of Infrastructure builds and Datacenter materials
- Fine‑tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level
- Collaborate with data scientists and other stakeholders to understand data needs and develop solutions that meet those needs
- Provide guidance and mentorship to junior data scientists, contributing to team knowledge and best practices
- Stay up‑to‑date with the latest developments in machine learning, statistics, and data science, applying new techniques for process/product improvements
- BS (or equivalent experience) in Data Science, Computer Science, Applied Mathematics, Engineering, or related quantitative or technical field
- Hands‑on experience with LLMs including fine‑tuning, evaluation, and prompt engineering
- Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift
- Experience analyzing data, generating insights, and telling stories with data
- Good understanding of data governance, data quality, and data security principles
- Creative problem‑solving skills with a rapid prototyping mindset and a collaborative attitude
- Experience with cloud infrastructure and networking domain
- Experience with MLOps, building workflows for model retraining, monitoring and deploying
- Experience working with ambiguous problem and driving it to the finish line
You’ll be working with critical information related to new builds and expansions from initial planning, ordering to shipment of materials, including traffic demand on network. If you’re passionate about exploring AI solutions in this complex space—and you have the technical depth to back it up—we want to hear from you.
Salary and BenefitsUS:
Hiring range in USD from $109,200 - $223,400 per year. 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:
- Medical, dental, and vision insurance, including expert medical opinion
- Short‑term disability and long‑term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre‑tax commuter…
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