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

Lensa; Warren (MI); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading company is looking for a Principal Data Scientist specializing in Generative AI and Machine Learning. This role involves overseeing data science projects, mentoring a team, and aligning data initiatives with business goals. The ideal candidate will have extensive experience in healthcare data science, proficiency in Python and R, and a strong foundation in machine learning. Join us to drive data-driven decision-making and innovate healthcare solutions.

Qualifications

• 10+ years’ experience as a data scientist, preferably in healthcare.
• Proficiency in Python and R, experience with frameworks like TensorFlow, Keras, PyTorch.

Responsibilities

• Oversee data science projects and manage a team.
• Lead the development and implementation of data models.
• Extract insights from complex datasets to inform strategic decisions.

Skills

Critical thinking

Problem-solving

Data visualization

Analytical problem-solving

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

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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 meet 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; 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 to test and implement new AI technologies.
• 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: 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.
• Model Fine-Tuning: Adapt pre-trained models for specific tasks ensuring optimal performance.
• Data Cleaning and Preprocessing: Prepare data for analysis, handle missing values, and remove 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 coach junior data scientists.
• Partnerships: Collaborate with business and tech teams to develop models that improve metrics like Star ratings and care gaps.
• Presentations: Clearly communicate complex analytical insights to diverse audiences.
• Other Duties: Adapt to changing business needs, explore new data solutions, and refer opportunities to relevant teams.
• Tools & Techniques: Use a broad range of tools to extract industry insights.

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
• Critical thinking and problem-solving skills
• Proficiency in Python and R, experience with frameworks like TensorFlow, Keras, PyTorch
• Strong statistical and machine learning knowledge
• Experience with agentic workflows and RAG techniques
• Model fine-tuning expertise
• Data visualization skills (Tableau, Power BI)
• Database management experience (SQL, NoSQL, ETL)
• Analytical problem-solving abilities

Preferred Education:

PHD or additional experience

Preferred Experience:

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

To all current Molina employees: Apply through the intranet. Molina offers competitive benefits. Equal Opportunity Employer.