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Applied AI Scientist – III
CareSourceApplied AI Scientist III developing advanced analytics solutions using AI technologies. Collaborating with interdisciplinary teams to drive innovation in healthcare operations and enhance patient care.
Posted 4/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $94,100 - $164,800 per yearWebsite
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- The Applied AI Scientist III is responsible for developing advanced analytics solutions using AI technologies to enhance healthcare operations.
- Evaluate emerging technology and integrate advancements into projects to drive innovation.
- Utilize NLP algorithms and deep learning techniques to analyze unstructured healthcare data.
- Lead development from prototype through production in partnership with engineering.
- Collaborate with interdisciplinary teams to identify opportunities for data-driven solutions.
Requirements
What you’ll need- Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other related field required
- 5 years of experience in predictive analytics, data science, or a related field, preferably within the healthcare industry or managed care organizations required
- Familiarity with Agentic AI, LLM architecture, prompt engineering, RAG, and evaluation metrics
- Familiarity with MLOps and LLMOps practices such as CI/CD, model registry, experiment tracking, automated evaluation, monitoring, and reproducible pipelines
- Strong expertise in statistical modeling, machine learning techniques, and predictive analytics tools such as Python, or R
- Expert in data manipulation, data visualization, and SQL for data extraction and analysis
- Knowledge of healthcare operations, payer and provider models, and industry trends
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- Bonuses
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
NLP algorithmsdeep learning techniquespredictive analyticsstatistical modelingmachine learningPythonRSQLdata manipulationdata visualization
Soft Skills
collaborationleadershipinnovation