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

Lensa; Meridian (ID); 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 projects, mentoring a team, and aligning data initiatives with business goals. The ideal candidate will have extensive experience in data science, particularly in healthcare, and will lead innovative AI solutions to enhance operations and member experiences.

Qualifications

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

Responsibilities

• Oversee data science projects and mentor a team.
• Lead development of data models and ensure ethical data use.

Skills

Critical thinking

Problem-solving

Python

R

Data visualization

Analytical abilities

Education

Master’s Degree in Computer Science

Master’s Degree in Data Science

Master’s Degree in Statistics

Tools

Hadoop

Spark

TensorFlow

Keras

PyTorch

Tableau

Power BI

SQL

NoSQL

ETL

Job description

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

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 to revolutionize healthcare operations and enhance member experience.

Job Duties

• Research and Development: Stay current with AI and machine learning advancements 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.
• Data Analysis: Extract insights from complex datasets to inform strategic decisions.
• Machine Learning Development: Design, develop, and train models using various algorithms, including deep learning and reinforcement learning.
• Agentic Workflows: Develop workflows utilizing AI agents for autonomous tasks, improving operational efficiency.
• 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 Preparation: Clean and preprocess data to ensure 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 coach junior data scientists.
• Partner with business teams to develop models that improve Star ratings, reduce care gaps, etc.
• Present analytical insights clearly to all audiences.
• Identify and refer data solution opportunities as business needs evolve.
• Utilize industry trends and tools to extract insights.

Job Qualifications

Required Education

Master’s Degree in Computer Science, Data Science, Statistics, or related field

Required Skills & Experience

• 10+ years’ experience as a data scientist, preferably in healthcare but open to other industries
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Familiarity with relational databases and SDLC
• Critical thinking and problem-solving skills
• Strong programming skills in Python and R; experience with TensorFlow, Keras, PyTorch
• Understanding of statistical methods and ML algorithms (k-NN, Naive Bayes, SVM, neural networks)
• Experience with agentic workflows and RAG techniques
• Model fine-tuning expertise
• Data visualization skills (Tableau, Power BI)
• Database management experience (SQL, NoSQL, ETL)
• Analytical and innovative problem-solving abilities

Preferred Education

PHD or additional relevant 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: Please 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