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

Lensa; Warren (MI); Remote; USD 117,000 - 276,000; Full time

Job summary

An established industry player seeks a Principal Data Scientist to lead innovative generative AI projects in healthcare. This pivotal role involves overseeing data science initiatives, mentoring a talented team, and aligning data strategies with business objectives. The ideal candidate will possess extensive experience in machine learning, AI model deployment, and statistical analysis, driving data-driven decisions that enhance member experiences. Join a forward-thinking organization committed to revolutionizing healthcare through cutting-edge technology and strategic insights.

Qualifications

• 10+ years of data science experience, preferably in healthcare.
• Proficient in Python and R with AI frameworks like TensorFlow.
• Strong analytical skills and experience with big data technologies.

Responsibilities

• Oversee data science projects and mentor team members.
• Develop and implement data models for healthcare solutions.
• Extract insights from complex datasets to inform decisions.

Skills

Python

R

Machine Learning

AI Model Deployment

Data Analysis

Statistical Methods

Critical Thinking

Model Fine-Tuning

Big Data Technologies

Data Visualization

Education

Master’s Degree in Computer Science

PhD or additional relevant experience

Tools

TensorFlow

Keras

PyTorch

Tableau

Power BI

Hadoop

Spark

SQL

NoSQL

Job description

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

4 days ago Be among the first 25 applicants

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 advancements in AI and machine learning 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 complex datasets to inform strategic decisions.
• Machine Learning Model Development: Design, develop, and train models using various algorithms, including deep learning and reinforcement learning.
• Agentic Workflows Implementation: Develop workflows utilizing AI agents for autonomous tasks to improve operational efficiency.
• RAG Pattern Utilization: Use retrieval-augmented generation techniques to enhance language model performance with external knowledge.
• Model Fine-Tuning: Adapt pre-trained models to specific tasks ensuring optimal relevance and performance.
• Data Cleaning and Preprocessing: Prepare data for analysis, handling missing values and outliers.
• Collaboration: Work with cross-functional teams to integrate AI solutions into existing systems.
• Documentation and Reporting: Document models and methodologies; communicate findings to stakeholders.
• Mentorship: Guide and support less experienced data scientists.
• Partner with business teams to develop models that improve key metrics like Star ratings and reduce care gaps.
• Present findings clearly across all levels and manage analytical project delivery.
• Identify and refer opportunities for data and technology-enabled solutions to relevant teams.
• Utilize various tools and techniques to extract insights from industry trends.

Job Qualifications

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

Required Experience/Skills

• 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 concepts
• Strong critical thinking skills for unstructured problems
• Proficiency in Python and R; experience with frameworks like TensorFlow, Keras, or PyTorch
• Understanding of statistical methods and algorithms such as k-NN, Naive Bayes, SVM, neural networks
• Experience with designing agentic workflows and RAG techniques
• Expertise in model fine-tuning and data visualization tools (e.g., Tableau, Power BI)
• Experience with SQL, NoSQL, data warehousing, and ETL processes
• Strong analytical and problem-solving skills

Preferred Education

PHD or additional relevant experience

Preferred Experience

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

To all current Molina employees: Apply through the intranet job listing.

Molina Healthcare offers competitive benefits. Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $117,731 - $275,491 / ANNUAL

• Actual compensation varies based on location, experience, education, and skills.

Additional Details

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

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