Healthcare AI Data Scientist: Statistics & ML Expert

Molina Healthcare

United States

On-site

USD 80,000 - 172,000

Full time

14 days+
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Job summary

Molina Healthcare seeks a data scientist to perform data and error analysis, clean data, and run statistical experiments to improve models across healthcare domains. You will develop and deploy advanced ML models and AI solutions to enhance products and services.

Collaborate with software engineers, product managers, and analysts to derive insights, fine-tune models, and monitor deployed AI systems, driving measurable business decisions.

Qualifications

  • 3+ years’ work experience as a data scientist, preferably in healthcare.
  • Knowledge of big data technologies (Hadoop, Spark) and modern ML tooling.
  • Proficiency in Python and R; experience with ML frameworks (TensorFlow, Keras, PyTorch).
  • Strong statistical foundation and experience with ML algorithms (e.g., neural networks).
  • Experience with Agentic Workflows and retrieval-augmented generation (RAG) techniques.
  • Data visualization skills (Tableau, Power BI) and data warehousing/ETL know-how.
  • Problem-solving mindset with ability to deliver innovative data-driven solutions.

Responsibilities

  • Data Analysis and Interpretation: Extract insights from complex datasets and inform strategy.
  • Machine Learning Model Development: Design, develop, train ML models using diverse algorithms.
  • Agentic Workflows Implementation: Develop workflows that use AI agents for autonomous tasks.
  • RAG Pattern Utilization: Use RAG to enhance language model performance with external knowledge.
  • Model Fine-Tuning: Fine-tune pre-trained models for specific tasks.
  • Data Cleaning and Preprocessing: Clean data, handle missing values, remove outliers.
  • AI Model Deployment and Monitoring: Deploy models and monitor performance in production.
  • Collaboration: Work with engineers, PMs, and business analysts to integrate AI solutions.
  • Research and Development: Stay updated on AI advancements and apply them.
  • Documentation and Reporting: Document models and communicate findings clearly.

Skills

Data Science
Machine Learning
Healthcare domain knowledge
Agentic Workflows
RAG Techniques
Data Visualization
Statistical Analysis
Problem-Solving

Education

Bachelor’s degree in Computer Science
Bachelor’s degree in Data Science
Bachelor’s degree in Statistics
Master’s degree in Computer Science

Tools

Hadoop
Spark
Python
R
TensorFlow
Keras
PyTorch
Tableau
Power BI
SQL
NoSQL
ETL

Job description

Molina Healthcare seeks a data scientist to perform data and error analysis, clean data, and run statistical experiments to improve models across healthcare domains. You will develop and deploy advanced ML models and AI solutions to enhance products and services.

Collaborate with software engineers, product managers, and analysts to derive insights, fine-tune models, and monitor deployed AI systems, driving measurable business decisions.

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