Data Scientist IV

CareSource

. Lead operationalization of AI and machine learning solutions from prototype through scalable production deployment .

Posted 9/23/2026full-timeRemote • United StatesSeniorLead💰 $113,000 - $197,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and machine learning operationalization, predictive modeling, and advanced analytics within healthcare. Proficient in leading technical standards, ensuring compliance, and mentoring teams to drive innovative solutions.

Highest-signal resume keywords

Predictive ModelingMachine LearningGenerative AICloud Services (Azure, AWS, GCP)Healthcare Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceDeep LearningNatural Language Processing (NLP)SQLFeature EngineeringData CleansingStatistical SolutionsTransformersMLOpsAI Governance

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsProject LeadershipCritical Thinking

Tools & Technologies

DatabricksSnowflakeCI/CDExperiment TrackingModel Versioning

Industry Keywords

HIPAAManaged CareHealthcare OperationsCPT-4ICD-9/10

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Lead operationalization of AI and machine learning solutions from prototype through scalable production deployment
Establish technical standards, design reviews, best practices, and reusable frameworks for AI, machine learning, and advanced analytics
Design, develop, and oversee predictive modeling, machine learning, and statistical solutions using claims, EHR/EMR, laboratory, utilization management, clinical, and operational datasets
Conduct data cleansing, feature engineering, exploratory data analysis, and derive actionable recommendations
Design, develop, test, deploy, and govern Generative AI, Agentic AI, NLP, deep learning, and RAG solutions using MLOps and LLMOps practices
Evaluate emerging AI technologies and recommend enterprise adoption strategies based on business value, risk, and scalability
Ensure HIPAA/PHI compliance and collaborate with privacy, security, and compliance partners to mitigate AI risks
Collaborate with clinical leadership, risk adjustment, care management, operations, IT, and analytics stakeholders to prioritize work, define KPIs, communicate results, tradeoffs, and roadmap progress
Serve as an enterprise subject matter expert for AI, machine learning, and advanced analytics
Mentor data scientists and contribute hands-on to innovative AI and machine learning capabilities
Perform other job-related duties as requested

Requirements

What you’ll need

Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or another related field required
Equivalent years of relevant work experience may be accepted in lieu of required education
Eight (8) years of experience in predictive analytics, data science, or a related field required
Three (3) years of technical leadership, solution ownership, or mentoring experience required
One (1) year of experience with cloud services such as Azure, AWS, or GCP and modern data stacks such as Databricks or Snowflake required
Three (3) years of experience delivering LLM and/or generative AI solutions from prototype through production required
Expert knowledge of predictive modeling, machine learning, deep learning, NLP, generative AI, and healthcare analytics methodologies
Expertise in Agentic AI, LLMs, prompt engineering, RAG, evaluation methodologies, and scalable trustworthy AI solutions
Expert knowledge of transformer architectures, deep learning frameworks, and generative modeling concepts
Familiarity with AI-powered document intelligence, OCR, language extraction, annotation, retrieval, and review workflows
Familiarity with MLOps/LLMOps practices including CI/CD, experiment tracking, model and prompt versioning, automated testing, monitoring, observability, and reproducible pipelines
Understanding of AI governance, responsible AI, privacy-by-design, HIPAA/PHI handling, model risk management, prompt injection safeguards, and data leakage prevention
Expert knowledge in SQL and working knowledge of data modeling, data quality, and feature engineering for large healthcare datasets
Knowledge of healthcare operations, payer and provider models, and industry trends
Knowledge of CPT-4, HCPCS, ICD-9/10, DRG, and Revenue Codes
Knowledge of managed care required
Excellent analytical, problem-solving, critical-thinking, written, verbal communication, and presentation skills
Strong project/program leadership skills
Ability to travel as required by business needs

Benefits

Comp & perks

Bonus tied to company and individual performance may be available
Comprehensive total rewards package
Employee total well-being support