Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote

Lensa; Fort Worth (TX); Remote; USD 117,000 - 276,000; Full time

Job summary

A leading career site is seeking a Principal Data Scientist specializing in Generative AI and Machine Learning. This role involves overseeing projects, mentoring a team, and driving data-driven decision-making in healthcare. The ideal candidate will have extensive experience in data science, particularly in healthcare, and proficiency in Python and R. Responsibilities include model development, deployment, and ensuring compliance with regulatory standards. Join us to revolutionize healthcare operations and enhance member experiences.

Benefits

Competitive benefits

Qualifications

• 10+ years’ experience as a data scientist, preferably in healthcare.
• Knowledge of big data technologies and proficiency in Python and R.

Responsibilities

• Oversee data science projects and manage a team.
• Lead development of data models and collaborate with cross-functional teams.
• Ensure ethical data use and communicate technical concepts to stakeholders.

Skills

Python

R

Critical Thinking

Problem Solving

Data Visualization

Education

Master’s Degree in Computer Science

PhD or equivalent experience

Tools

TensorFlow

Keras

PyTorch

Tableau

Power BI

Job description

Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote

Be among the first 25 applicants. Lensa, a leading career site, is seeking professionals for Molina Healthcare. Apply via Lensa today!

Job Description

Job Summary

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model operations to meet regulatory and security standards. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making and pioneer generative AI healthcare solutions to revolutionize healthcare operations and enhance member experience.

Job Duties

• Research and Development: Stay current with AI and machine learning advancements; apply insights to improve models and develop new methodologies.
• AI Model Deployment, Monitoring & Governance: Deploy models into production, monitor performance, and ensure compliance with governance and regulatory standards.
• Innovation Projects: Lead pilot projects testing new AI technologies.
• Data Analysis and Interpretation: Extract insights from datasets, identify patterns, and inform strategic decisions.
• Machine Learning Model Development: Design, develop, and train models using various algorithms and techniques.
• Agentic Workflows Implementation: Develop workflows utilizing AI agents for autonomous tasks, improving operational efficiency.
• RAG Pattern Utilization: Use retrieval-augmented generation to enhance language models with external knowledge.
• Model Fine-Tuning: Adapt pre-trained models for specific tasks to ensure relevance and performance.
• Data Cleaning and Preprocessing: Prepare data for analysis, ensuring high quality inputs.
• Collaboration: Work with cross-functional teams to integrate AI solutions.
• Documentation and Reporting: Document models and methodologies; communicate findings effectively.
• Mentorship: Guide and support data scientists.
• Partner with business and tech teams to develop models that improve Star ratings, reduce care gaps, and meet other objectives.
• Present analytical insights clearly to all audiences and manage analytical project delivery.
• Identify and refer data solution opportunities based on business needs.
• Utilize industry trends and tools to extract insights.

Job Qualifications

Required Education: Master’s Degree in Computer Science, Data Science, Statistics, or related field.

Experience/Skills:

• 10+ years’ experience as a data scientist, preferably in healthcare.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiar with relational databases and SDLC concepts.
• Strong critical thinking and problem-solving skills.
• Proficiency in Python and R; experience with frameworks like TensorFlow, Keras, or PyTorch.
• Understanding of statistical methods and machine learning algorithms.
• Experience with agentic workflows and RAG techniques.
• Expertise in model fine-tuning.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Experience with SQL, NoSQL, data warehousing, and ETL processes.
• Analytical and innovative problem-solving skills.

Preferred Education

PHD or equivalent experience.

Preferred Experience

• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio).
• Familiarity with NLP and computer vision techniques.

To apply, current Molina employees should use the intranet. Molina Healthcare offers competitive benefits. Equal Opportunity Employer. Pay Range: $117,731 - $275,491 annually.