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

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

Job summary

A leading company is seeking a Principal Data Scientist specializing in Generative AI and Machine Learning. This role involves overseeing data science projects, mentoring a team, and implementing innovative AI solutions to enhance healthcare operations. The ideal candidate will have a Master’s degree and extensive experience in data science, particularly in healthcare, with strong programming skills in Python and R.

Qualifications

• 10+ years in data science, preferably in healthcare.
• Strong programming skills in Python and R.
• Deep understanding of statistical methods and machine learning algorithms.

Responsibilities

• Oversee data science projects and mentor team members.
• Lead the development and implementation of data models.
• Ensure ethical data use and communicate complex concepts.

Skills

Data visualization

Problem-solving

Statistical methods

Machine learning algorithms

Programming in Python

Programming in R

Education

Master’s Degree in Computer Science

PhD or additional experience

Tools

Hadoop

Spark

TensorFlow

Keras

PyTorch

Tableau

Power BI

SQL

NoSQL

Job description

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

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Lensa is the leading career site for job seekers at every stage of their career. Our client, Molina Healthcare, is seeking professionals. 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 the 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 align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and pioneer generative AI healthcare solutions, aimed at revolutionizing healthcare operations and enhancing member experience.

Job Duties

• Research and Development: Stay current with advancements in AI and machine learning, applying insights to improve existing 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 within the organization.
• 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.
• RAG Pattern Utilization: Use retrieval-augmented generation to enhance language model performance.
• Model Fine-Tuning: Adapt pre-trained models to specific tasks for optimal 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 to stakeholders.
• Mentorship: Guide and coach junior data scientists.
• Partner with business teams to improve key metrics like Star ratings and care gaps.
• Present analytical insights clearly to diverse audiences.
• Identify and recommend data solutions and technology opportunities.
• Leverage industry trends for insights.

Job Qualifications

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

Experience/Skills:

• 10+ years in data science, preferably in healthcare but open to other industries.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Proficiency with relational databases and SDLC concepts.
• Strong programming skills in Python and R; experience with frameworks like TensorFlow, Keras, PyTorch.
• Deep understanding of statistical methods and machine learning algorithms.
• Experience with agentic workflows and RAG techniques.
• Proven ability to fine-tune models for specific tasks.
• Data visualization skills (Tableau, Power BI).
• Database management experience (SQL, NoSQL).
• Excellent problem-solving skills.

Preferred Education

PHD or additional experience.

Preferred Experience

• Experience with cloud platforms (Databricks, Snowflake, Azure AI Studio).
• Knowledge of NLP and computer vision techniques.

p>To all current Molina employees: Apply through the intranet. Molina offers competitive benefits. Equal Opportunity Employer. Pay Range: $117,731 - $275,491 annually.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and IT
• Industries: IT Services and Consulting