Data Scientist 4

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.

Career Level - IC4

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. 

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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.

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. 

NetSuite AI is looking for a talented Data Scientist to contribute to our growing team. Role Overview: As a key team member, you will be involved in exciting AI initiatives such as: • Developing ML models and algorithms that power new features in NetSuite. • Building AI Agents using LLM's to increase user productivity. Qualifications: • MS or PhD in Computer Science, AI, Machine Learning, or a related quantitative field. • 3+ years of industry experience as a Data Scientist, with successful ML project implementations. • Proficiency in Python programming and experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, and/or LangChain. • Familiarity with the software development lifecycle and best practices like version control, unit testing, code review, etc. • Familiarity with machine learning model development best practices and pitfalls like evaluation and target leaks. • Knowledge of LLMs and AI Agent development and evaluation.