Pay
In line with similar jobs
$101K–$210K against $118K–$195K, the middle half of what similar US postings state.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Nashville, TN, United States
Live, first seen by us 30 days agoRange and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $100,700 to $209,500 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.Read the full posting
Lead statistical analysis and research to answer strategic business questions
Develop, fine-tune, and deploy scalable ML and LLM-based solutions for infrastructure build
Establish data-quality standards with validation, monitoring, and lineage
Mentor junior data scientists on statistical rigor and modeling practices
Partner with engineers, product teams and stakeholders to define data needs
Lead exploratory research and rigorous statistical analysis to translate complex data into clear, actionable answers to strategic business questions
Lead the development, evaluation, and fine-tuning of LLM-based solutions for infrastructure-build and data-center-materials use cases
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
Partner with data scientists, engineers, product teams, and business stakeholders to define data requirements
Bachelor’s degree, or equivalent practical experience, in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field.
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
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.
Minimum Qualifications - 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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$101K–$210K against $118K–$195K, the middle half of what similar US postings state.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Day 30
Similar jobs usually come down between day 8 and day 60.
At Oracle, jobs usually come down by about day 27.
From 11,801 similar postings that came down, and 179 of Oracle’s. Coming down is not always a hire.
93 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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.
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, 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 Senior 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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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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, 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 Senior 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
What You’ll Do
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, recognizing that reliable inputs are foundational to trustworthy analytical and ML outputs.
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.
Minimum Qualifications
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.
Preferred Qualifications (Nice To Have)
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $100,700 to $209,500 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.
Nashville, TN, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.