EI
Sr. Data Scientist
Expert In Recruitment Solutions
🇺🇸 United States
Remote
Senior
2 months ago
- Python
- SQL
- PyTorch
- TensorFlow
- AI
- AI/ML
- RAG
- Machine Learning
- Large Language Models
- LangChain
- LlamaIndex
2 months ago
Remote
Description:
Are you open to candidates that would need to be 100% remote for the duration of the engagement? Yes.
What does the team structure look like – how many members and what is the break-down of the team's skill sets (ex: 1 PM, 4 Developers, etc.) The team is made up of 6 AI engineers - lots of good experience in Agentic AI/LLMs and the person will be well supported by a mature team for the duration.
Work hours (can ex. 9am-5pm daytime or preferrable aline with the team in GMT timezone.
2 interviews, 1 * 30 min with Hiring Manager, 1 hour deep technical with members of development team.
Optum Payment Integrity Decision Intelligence is seeking a Senior Data Scientist for asharp, high-impact 6-month contract focused on delivering practical AI/ML solutions that improve efficiency, prioritisation, and medical cost savings within Payment Integrity operations.
This is an ideal opportunity for a contractor who enjoys stepping into a well-defined piece of work, moving quickly, and partnering with amature, collaborative team. You'll work on meaningful problems with modern tooling, including LLMs, RAG, GenAI, predictive modelling, and agentic workflows, in an environment that values autonomy, technical depth, and low-friction delivery.
What you'll be doing in this 6-month engagement:
- Design and deploy intelligent models by applying advanced statistical techniques, traditional machine learning algorithms, deep learning architectures, and modern approaches such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI. Leverage state-of-the-art libraries and frameworks to ensure scalable, production-grade solutions aligned with enterprise deployment standards.
- Lead cross-functional discovery sessions with Data Scientists and Payment Integrity Operations leadership to translate business challenges into actionable analytical objectives. Drive alignment between statistical rigor and emerging AI capabilities to maximise operational impact.
- Deliver robust statistical analyses that frame business scenarios with clarity and precision, integrating classical inference methods with generative and agentic reasoning to inform critical decisions and enhance process outcomes.
- Collaborate with data stewards and engineering teams to curate high-quality datasets for model development. Ensure data integrity and readiness for both traditional predictive modelling and autonomous agent workflows.
- Develop end-to-end modelling pipelines encompassing sampling design, data and selection of appropriate statistical and AI methodologies. Document processes and results with transparency, supporting reproducibility and auditability across both ML and LLM-based systems.
- Communicate insights and model outputs effectively to stakeholders, translating complex statistical and AI-driven findings into actionable business narratives.
- Monitor and refine model performance through continuous evaluation, incorporating feedback loops and adaptive learning mechanisms. Recommend enhancements to algorithms and agentic workflows that unlock new insights and drive measurable improvements.
- Advanced degree inApplied Mathematics,Physics,Computer Science,Statistics, or a related technical field.
- Proficiency intraditional machine learning andstatistical modelling, including regression, classification, sampling design.
- Strong coding skills inPython,SQL, and related languages.
- Demonstratedsystems-level thinking and a track record ofcreative problem-solving, including non-standard approaches to complex challenges.
- Proven experience intransitioning projects from proof-of-concept (PoC) to production, with a focus on scalability, reliability, and performance.
- Exposure toLLM technologies
- Knowledge of work with US healthcare data (claims, clinical records, authorization, provider contracts)
- Proficiency in deep learning frameworksPyTorch,Tensorflow or other
- Experience withAgentic AI frameworks such asLangChain,LlamaIndex, and other orchestration tools for autonomous agents.
- Hands-on experience implementing/adapting published academic research into tangible solutions.
- Ability to understanding emerging prompting strategies/research and evaluate benefits/trade-offs.
Sr. Data Scientist · Expert In Recruitment Solutions