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About the Role
The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes. This role involves building sophisticated analytical solutions to drive optimization and efficiency, researching disparate data sources, setting up large-scale data pipelines, and deploying large language models in OCI's growing Infrastructure space. The ideal candidate thrives in ambiguity and can distill abstract ideas into concrete solutions, with a proven track record of delivering data-driven solutions across complex environments. The Senior Data Scientist will be responsible for statistical analyses, ML/large language model deployment, forecasting models, and leading business intelligence initiatives impacting Infrastructure and Networking for OCI. This role requires a passion for solving high-impact problems and the ability to quickly contribute to in-flight projects.
Responsibilities
- Lead exploratory research and rigorous statistical analysis to translate complex data into clear, actionable answers to strategic business questions; apply data transformation, experimental design, predictive modeling, and machine-learning methods as appropriate.
- Design, fine-tune, and optimize scalable algorithms and models, ensuring strong reliability, performance, reproducibility, and operational readiness in high-volume production environments.
- Partner with data scientists, engineers, product teams, and business stakeholders to define data requirements, evaluate analytical opportunities, and deliver solutions aligned with measurable business outcomes.
- Establish and champion data-quality standards, including validation, monitoring, lineage, and remediation practices.
- Mentor junior data scientists on statistical rigor, modeling best practices, experiment evaluation, code quality, and effective communication of data-driven findings.
- Lead the development, evaluation, and fine-tuning of LLM-based solutions for infrastructure-build and data-center-materials use cases, including domain adaptation, retrieval/evaluation strategies, and performance measurement.
- Stay current on advances in statistics, machine learning, and data science; assess and apply emerging methods to improve business processes, product capabilities, and decision quality.
- Stay up-to-date with the latest developments in machine learning, statistics, and data science, applying new techniques for process/ product improvements.
Requirements
- Bachelor’s degree, or equivalent practical experience, in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field.
- Strong foundation in probability, statistical inference, experimental design, hypothesis testing, regression, and predictive modeling.
- Experience applying rigorous statistical analysis to large, complex datasets to answer business questions, quantify uncertainty, and communicate actionable insights.
- Proficiency in SQL and Python or R for data extraction, transformation, analysis, visualization, and reproducible modeling workflows.
- Experience with data warehousing and working with structured and semi-structured data at scale.
- Demonstrated ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
- Hands-on experience developing, validating, and deploying machine-learning models, including model selection, feature engineering, performance evaluation, and monitoring.
- Experience evaluating and adapting LLM or generative-AI solutions for business use cases, including prompt design, benchmarking, and quality assessment.
- Collaborative problem-solving skills and the ability to develop, evaluate, and iterate on analytical solutions in an ambiguous environment.
- 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.
Skills
- Statistical Analysis
- Machine Learning
- Large Language Models (LLMs)
- Data Pipelines
- SQL
- Python
- R
- Data Warehousing
- MLOps
- Generative AI
Location
- US
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Bachelor's degree or equivalent practical experience
Salary/Compensations
- $100,700 to $209,500 per annum
Benefits
- 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 and parking benefits
- 401(k) Savings and Investment Plan with company match
- Flexible Vacation
- 11 paid holidays
- Paid sick leave
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
About the Company
- Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. With AI embedded across its products and services, Oracle helps 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. Oracle is committed to growing a workforce that promotes opportunities for all with competitive benefits that support its people with flexible medical, life insurance, and retirement options. Oracle also encourages employees to give back to their communities through its volunteer programs.
Equal Opportunity
- 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.
- 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.