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

Lensa; Jacksonville (FL); Remote; USD 117,000 - 276,000; Full time

Job summary

A leading career site is seeking a Principal Data Scientist specializing in Generative AI and Machine Learning. This remote role involves overseeing data science projects, leading a team, and developing innovative AI solutions to enhance healthcare operations. The ideal candidate will have extensive experience and a Master's degree in a related field, with strong technical skills in Python and R.

Qualifications

• 10+ years’ experience as a data scientist, preferably in healthcare.
• Master’s degree required in relevant field.
• Technical proficiency in Python and R with experience in AI frameworks.

Responsibilities

• Oversee data science projects and manage a team.
• Lead development of data models and collaborate with cross-functional teams.
• Ensure ethical data use and communicate complex concepts to stakeholders.

Skills

Critical thinking

Problem-solving

Technical proficiency in Python

Technical proficiency in R

Statistical methods

Machine learning algorithms

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

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 to pioneer generative AI healthcare solutions aimed at revolutionizing healthcare operations and enhancing member experience.

Job Duties

• Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
• AI Model Deployment, Monitoring & Model Governance: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness, ensuring compliance with governance and regulatory standards.
• Innovation Projects: Lead pilot projects to test and implement new AI technologies within the organization.
• Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
• Machine Learning Model Development: Design, develop, and train machine learning models using various algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
• RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve language model performance, ensuring access to external knowledge to enhance outputs.
• Model Fine-Tuning: Fine-tune pre-trained models for specific tasks or datasets to ensure optimal performance and relevance.
• Data Cleaning and Preprocessing: Prepare data for analysis by cleaning, handling missing values, and removing outliers to ensure high-quality inputs.
• Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems.
• Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
• Mentorship: Guide and coach newer data scientists.
• Business Partnership: Collaborate with business and technology teams to develop ML models that improve Star ratings, reduce care gaps, and meet other business objectives.
• Communication: Present complex analytical information clearly to all audience levels; manage and assign analytical projects as needed.
• Additional Duties: Adapt to changing business requirements, explore data and technology solutions, and refer opportunities to relevant teams for building payment integrity solutions.
• Industry Trends: Use a broad range of tools and techniques to extract insights from current industry or sector trends.

Job Qualifications

Required Education

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

Required Experience/Skills

• 10+ years’ experience as a data scientist, preferably in healthcare; relevant experience in other industries considered.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with relational database concepts and SDLC.
• Critical thinking and problem-solving skills for unstructured problems.
• Technical proficiency in Python and R; experience with frameworks like TensorFlow, Keras, or PyTorch.
• Strong understanding of statistical methods and machine learning algorithms (e.g., k-NN, Naive Bayes, SVM, neural networks).
• Experience with designing agentic workflows leveraging AI agents.
• Knowledge of RAG techniques and their application.
• Expertise in model fine-tuning for specific tasks.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Experience with SQL and NoSQL databases, ETL processes.
• Strong analytical and problem-solving skills.

Preferred Education

PHD or additional relevant experience.

Preferred Experience

• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio).
• Familiarity with NLP and computer vision techniques.

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

Molina Healthcare offers competitive benefits and compensation. We are an Equal Opportunity Employer (EOE) M/F/D/V.

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