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

Lensa; Atlanta (GA); Remote; USD 130,000 - 180,000; 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, mentoring a team, and aligning data initiatives with business goals. Candidates should have extensive experience in healthcare and strong programming skills in Python and R.

Qualifications

• 10+ years’ experience as a data scientist, preferably in healthcare.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with SQL and NoSQL databases, ETL processes.

Responsibilities

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

Skills

Critical thinking

Programming in Python

Programming in R

Data visualization

Analytical skills

Education

Master’s Degree in Computer Science

Master’s Degree in Data Science

Master’s Degree in Statistics

Tools

TensorFlow

Keras

PyTorch

Tableau

Power BI

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 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, applying these 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: Extract insights from datasets, identify patterns, and inform strategic decisions.
• Machine Learning Development: Design, develop, and train models using various algorithms and techniques.
• Agentic Workflows: Develop workflows utilizing AI agents for autonomous tasks.
• RAG Pattern Utilization: Use retrieval-augmented generation techniques to enhance language model performance.
• Model Fine-Tuning: Fine-tune pre-trained models for specific tasks.
• Data Preparation: Clean and preprocess data for modeling.
• Collaboration: Work with cross-functional teams to integrate AI solutions.
• Documentation & Reporting: Document models and methodologies; communicate findings.
• Mentorship: Guide and support junior data scientists.
• Business Partnership: Collaborate with business teams to improve metrics like Star ratings and care gaps.
• Presentation: Clearly communicate complex analytical findings to diverse audiences.
• Additional Duties: Adapt to changing business needs, explore data solutions, and support payment integrity initiatives.
• Trend Analysis: Use 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.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with relational databases and SDLC concepts.
• Critical thinking skills for unstructured problems.
• Strong programming skills in Python and R, with experience in frameworks like TensorFlow, Keras, or PyTorch.
• Understanding of statistical methods and machine learning algorithms.
• Experience with agentic workflows and RAG techniques.
• Proven ability to fine-tune models.
• 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 experience

Preferred Experience:

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