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

Lensa; Covington (KY); 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 aligning data initiatives with business goals. The ideal candidate will possess strong technical expertise and leadership skills to drive data-driven decision-making and innovate healthcare solutions.

Qualifications

• 10+ years’ experience as a data scientist, preferably in healthcare.
• Knowledge of big data tech and relational database concepts.

Responsibilities

• Oversee data science projects and manage a team.
• Lead development and implementation of data models.
• Collaborate with cross-functional teams.

Skills

Critical thinking

Problem-solving

Python

R

Data visualization

Analytical skills

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 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 to test and implement 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.
• RAG Pattern Utilization: Use retrieval-augmented generation to enhance language models.
• Model Fine-Tuning: Fine-tune pre-trained models for specific tasks.
• Data Cleaning and Preprocessing: Prepare data for analysis ensuring high quality.
• Collaboration: Work with cross-functional teams to integrate AI solutions.
• Documentation and Reporting: Document methodologies and communicate findings clearly.
• Mentorship: Guide and support less experienced data scientists.
• Partner with business and tech teams to develop ML models for business objectives.
• Present analytical insights to diverse 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 Experience/Skills

• 10+ years’ experience as a data scientist, preferably in healthcare or related industries
• Knowledge of big data tech (Hadoop, Spark)
• Relational database concepts and SDLC familiarity
• Critical thinking and problem-solving skills
• Strong programming 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
• Proficiency in data visualization tools (Tableau, Power BI)
• Database management skills (SQL, NoSQL, ETL)
• Analytical and innovative 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

Additional Information

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