Senior Applied Scientist - Oracle Analytics
Senior Applied Scientist - Oracle Analytics
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Job Description
We are looking for a Senior Applied Scientist to support the development of next-generation generative AI powered solutions for Oracle Analytics. You will be responsible for designing new approaches to natural language based interaction with structured data creating agentic systems for multi-faceted data analysis developing advanced personalization and customization techniques and integrating your solutions into intelligent applications for industry verticals. You will conduct in-depth research produce production-ready code and collaborate with a cross-functional team to integrate your work into applications and services.
This role requires a solid basis in machine learning and generative AI techniques the ability to design novel solutions in response to business requirements and demonstrated experience in transitioning science solutions into production environments. The candidate should have hands-on experience in LLMs fine-tuning approaches agents/agent frameworks tool orchestration and model evaluation techniques. Preferred qualifications include familiarity with machine learning approaches for structured data tabular representation learning nl2sql graph-based learning time series modeling or operations research/mathematical optimization.
Responsibilities
Responsibilities:
Collaborate with a larger science team to develop innovative science solutions in response to business requirements.
Research and develop innovative approaches leveraging recent advances in generative AI mathematical optimization and machine learning for structured data.
Write high quality code to power experiments and build models. Contribute to writing production model code.
Collaborate with data engineers to provide guidelines for data collection and annotation.
Collaborate closely with cross-functional teams to deliver solutions into various applications and products.
Identify new opportunities for scientific exploration and evaluate emerging technologies.
Maintain a deep understanding of industry trends and advancements in evaluation.
Qualifications and Experience:
PhD in Computer Science Mathematics Statistics Engineering or a related field and a minimum of 3 years work experience in AI/Generative AI/Machine Learning in an industry setting. Candidates without a PhD but with 5 additional years experience will be considered.
Publication record in first-tier journals or conferences.
Hands-on experience in generative AI and model/application evaluation.
Proficiency in Python experience with GenAI frameworks such as Langchain LlamaIndex; familiarity with standards and protocols such as MCP A2A.
Strong understanding of machine learning algorithms and architectures
Excellent problem-solving and analytical skills
Strong communication abilities.
Qualifications
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: $97500 to $199500 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 Oracles 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 - IC3
Required Experience:
Senior IC
Employment Type
Full-Time
