Senior Data Scientist

Description The Senior Data Scientist at XSOLIS is responsible for developing, evaluating, and deploying scalable machine learning and AI solutions using large-scale healthcare data. This role blends traditional machine learning, data quality and risk modeling, and modern Generative AI techniques to support real-time clinical and operational decision-making.  The Senior Data Scientist works on moderately complex initiatives, collaborates closely with product and engineering teams, and contributes to responsible, high-quality, and production-ready AI systems.    Requirements Essential Duties & Responsibilities The essential functions include, but are not limited to the following: -   - Develop and deploy traditional machine learning models, including bias modeling, risk mitigation, and predictive analytics - Build scalable ML models and end-to-end ML pipelines suitable for production environments - Perform advanced data quality assessments, validation checks, and feature identification and analysis - Evaluate bias in training data and recommend mitigation strategies aligned with responsible AI practices - Design and implement intermediate models for risk scoring and predictive insights - Apply Generative AI techniques, including prompt engineering, retrieval-augmented generation (RAG), and deployment of GenAI models - Utilize and contribute to LLM evaluation frameworks to assess performance, accuracy, and reliability - Collaborate closely with Product, Engineering, and Business teams to identify, refine, and deliver high-impact AI use cases - Prepare trained models for production, including documentation, testing, and environment replication - Monitor model performance and participate in ongoing model optimization and observability efforts - Communicate complex analyses and results to technical and non-technical stakeholders - Maintain thorough documentation and participate in continuous learning and knowledge sharing across the Data Science team Minimum Qualifications (Knowledge, Skills, and Abilities)  Education: - Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or similar quantitative field; Master’s degree preferred  Experience: -   - Strong analytical thinking and problem-solving skills - Ability to collaborate cross-functionally with product-focused teams - Clear written and verbal communication skills - Commitment to ethical, responsible, and high-quality AI development - Big data querying experience using major cloud providers - Data processing, cleaning, feature extraction, and exploratory data analysis - Strong experience with machine learning and deep learning techniques and algorithms - Generative AI experience, including: - Prompt engineering and prompt optimization - RAG vs. non-RAG architectures - LLM evaluation methodologies - Experience with AI agents, agentic AI systems, and multi-agent orchestration - Model training, containerization, deployment, and performance monitoring - Automation, observability, and lifecycle management of ML pipelines (MLDC / MLOps) - Proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) - Experience working with relational databases and large-scale structured and unstructured datasets Supervisory Responsibilities This role does not have any direct reports and is a single contributor role.    Working Environment and Travel Requirements Work is typically in a normal office administrative environment involving minimal exposure to physical risks. Position requires little to moderate physical activity. Mostly sedentary work exerting up to 10 pounds of force occasionally or a negligible amount of force to lift, carry, push, pull, or otherwise move objects. Work involves sitting most of the time, but may involve walking or standing for brief periods of time. No significant stooping is usually required. Summary About Us   Xsolis is an AI-driven technology company with a human-centered approach, fostering collaboration between healthcare providers and payers through real-time transparency, objective data for increased accuracy and alignment of medical necessity decisions, and more efficient outcomes. Dragonfly®, its AI-driven proprietary platform, is the first and only solution to use real-time predictive analytics to continuously assign an objective medical necessity score and assess the anticipated level of care for every patient, enabling more efficiency across the healthcare system. Xsolis is headquartered in Franklin, Tennessee.   Our Values: - Team First - Client Passionate - Always Curious - Deliver Excellence Xsolis has been ranked on the Inc. 5000 and Deloitte Technology Fast 500 lists in both 2022 and 2023 as a fastest-growing private company, and was named 2022 Best in Business among private companies by the Nashville Business Journal. Xsolis executives have been featured in Becker's Hospital Review, Becker's Payer Issues, Chief Healthcare Executive, CIO Review, Managed Healthcare Executive, Medical Economics, HIT Consultant, Healthcare IT Today, among other leading publications.   For more information, visit www.xsolis.com.   Where We’ll Go Together Our company will become the new standard for utilization management. You’ll be a core part of realizing that goal and a valued contributor to the culture and climate we wish to create. Our wins are your wins, and we’re dedicated to making you feel your work matters (it truly does).   If any of this speaks to you, let’s get in touch.   Candidates must successfully pass a background check and drug screen prior to beginning employment with XSOLIS. XSOLIS is an equal opportunity employer that is committed to hiring based upon merit, skills, experience, and qualifications. We recognize the importance of an inclusive and diverse workforce that celebrates all individuals from all walks of life. We encourage everyone to apply regardless of gender identity, race, veteran status, age, sexual orientation, or any other protected class. All employees of XSOLIS fall under the same security role, which includes access to sensitive information, including proprietary data and PHI.   All official communications from our recruitment team come from emails ending in @xsolis.com or @echo.newtonsoftware.com. Job offers are only extended after a formal interview process, and any offer will come through official channels. You can verify postings on our official careers page: https://www.xsolis.com/about/careers.   #LI-MK1