Principal Data Scientist
Oracle
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.
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Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
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
What You’ll Do
- 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.