Data Scientist - Applied AI (LLMs, SLMs & Predictive Modeling)

Data Scientist - Applied AI (LLMs, SLMs & Predictive Modeling) at Centerwell in Little Rock, Arkansas, United States Job Description Become a part of our caring community The CenterWell Centralized Data & Analytics team is seeking a highly hands-on Data Scientist 2 to lead the design, development, and scaling of predictive models, LLM- and domain-specific SLM-based solutions, and agentic AI systems for Home Health applications. This role operates at the intersection of applied AI innovation and real-world production impact, with significant ownership in building production-grade AI systems trained on clinical data. You will combine advanced analytics and machine learning with modern AI techniques, along with strong MLOps, cloud, and Responsible AI practices, to deliver solutions that drive measurable business and patient outcomes. Key Responsibilities AI Systems & Intelligent Modeling + Own the design and development of end-to-end intelligent systems combining predictive modeling, LLMs, and domain-specific SLMs + Design and deploy predictive models (e.g., classification, regression, ranking, time series forecasting, anomaly detection, churn and risk modeling, and recommender systems), and integrate these signals into LLM- and SLM-based systems (e.g., RAG pipelines, decision engines) + Build and fine-tune proprietary SLMs trained on clinical notes and healthcare corpora + Develop and deploy LLM-based and agentic AI systems for reasoning, automation, and decision support + Engineer and optimize models across structured and unstructured data (tabular, text, and image) Clinical NLP, Multimodal AI & Innovation + Develop advanced clinical NLP solutions using embeddings, semantic search, and domain-specific models (e.g., ClinicalBERT, PubMedBERT) + Extract insights from large-scale unstructured healthcare data, including clinical text corpora + Build and extend multimodal AI capabilities, including computer vision models (e.g., image classification) as complementary systems + Prototype and explore emerging approaches in LLMs, SLMs, and agentic AI to drive continuous innovation + Translate AI outputs into actionable clinical and business insights Delivery, MLOps & Impact + Lead end-to-end delivery, from rapid prototyping and MVP development to scalable production systems + Partner with engineering, product, and business stakeholders to align AI solutions with strategic goals + Deploy and monitor

ML/LLM/SLM

systems, including model performance, drift, bias, and impact + Implement MLOps best practices, including CI/CD, model lifecycle management, and scalable cloud deployment (Azure/AWS) + Drive Responsible AI practices, including explainability, governance, and compliance in healthcare environments Growth & Impact + Opportunity to shape the direction of applied AI systems in a rapidly evolving healthcare domain + Exposure to cutting-edge techniques across LLMs, SLMs, and agentic AI + Clear path to expanded ownership, technical leadership, and strategic influence Why This Role + Build real-world AI systems deployed at scale , not just prototypes + Develop domain-specific SLMs on clinical data -a high-impact, differentiated capability + Work on meaningful problems that directly improve patient outcomes in Home Health + Operate at the intersection of predictive AI, SLMs, and agentic systems + Take ownership of solutions that drive measurable business and clinical impact Use your skills to make an impact Required Qualifications + Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience + 4+ years of experience in data science, machine learning, or applied AI, with strong foundations in statistical modeling + Proven experience developing and deploying LLM and/or SLM-based systems in real-world environments + Hands-on expertise fine-tuning domain-specific models (e.g., LoRA, QLoRA, RLHF, DAPT, DPO) + Strong experience in predictive modeling, including feature engineering, validation, and production deployment + Experience working with structured and unstructured data, particularly NLP and text-based systems domain-specific models (e.g., ClinicalBERT, PubMedBERT) + Proficiency with modern AI/ML ecosystems, including Hugging Face, PyTorch/TensorFlow, Databricks, and MLOps practices + Ability to independently own and drive complex AI solutions from concept to production Preferred Qualifications + Master's degree in a quantitative or technical field + Experience working with clinical or healthcare data + Exposure to multimodal AI systems (text + image) + Experience developing domain-specific or proprietary language models Additional Information You will report to a Lead Data Scientist Location & Work Style + This role is open to a remote work style in the US + Eastern or Central time zone is preferred + Ability to travel for on-site team meetings (occasionally) on East Coast Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: + At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested + Satellite, cellular and microwave connection can be used only if approved by leadership + Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. + Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. + Work from a dedicated space lacking ongoing interruptions to protect member

PHI / HIPAA

information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday with instructions on how to add the information into your official application on Humana's secure website.

Travel:

While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $97,900 - $133,500 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline:

05-11-2026 About us

About CenterWell Senior Primary Care:

CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness visits, physical exams, chronic condition management, screenings, minor injury treatment and more. Our unique care model focuses on personalized experiences, t To view full details and how to apply, or