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

Lensa; Louisville (KY); Remote; USD 117,000 - 276,000; Full time

Job summary

A leading company in the IT Services and Consulting industry is seeking a Principal Data Scientist specializing in Generative AI and Machine Learning. This role involves leading data science projects, managing a team, and developing innovative AI solutions to enhance healthcare operations. The ideal candidate will have extensive experience, including proficiency in Python and R, and a strong background in statistical methods and machine learning algorithms. Join us to transform healthcare through cutting-edge AI technologies.

Benefits

Competitive benefits

Qualifications

• 10+ years of experience as a data scientist, preferably in healthcare.
• Strong understanding of statistical methods and machine learning algorithms.
• Experience with agentic workflows and RAG techniques.

Responsibilities

• Research and develop AI and machine learning models.
• Deploy, monitor, and govern AI models in production.
• Lead innovative projects testing new AI technologies.

Skills

Python

R

Machine Learning

Statistical Methods

Problem-Solving

Education

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

Tools

TensorFlow

Keras

PyTorch

Hadoop

Spark

SQL

NoSQL

Job description

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

This role involves leading data science projects, managing a team, and aligning data initiatives with business goals. The candidate will develop and implement data models, collaborate cross-functionally, and stay current with industry trends. Ensuring ethical data use and communicating complex concepts to non-technical stakeholders are essential. The role also includes leading model governance and model operations to meet regulatory standards, with a focus on pioneering generative AI healthcare solutions that aim to transform healthcare operations and improve member experience.

Job Responsibilities

1. Research and develop AI and machine learning models, applying latest advancements to enhance existing models and create new methodologies.
2. Deploy, monitor, and govern AI models in production, ensuring performance and compliance with regulations.
3. Lead innovative projects testing new AI technologies within the organization.
4. Analyze data to extract insights, identify patterns, and support strategic decisions.
5. Design and train machine learning models using various algorithms, including deep learning and reinforcement learning.
6. Develop agentic workflows utilizing AI agents for autonomous tasks to improve operational efficiency.
7. Utilize retrieval-augmented generation (RAG) techniques to enhance language model performance.
8. Fine-tune pre-trained models for specific applications, ensuring relevance and performance.
9. Prepare and clean data to ensure high-quality inputs for modeling.
10. Collaborate with cross-functional teams to integrate AI solutions into existing systems.
11. Create documentation and communicate findings effectively to diverse audiences.
12. Mentor and guide junior data scientists.
13. Partner with business and technology teams to develop models that improve healthcare metrics like Star ratings and care gaps.
14. Present analytical insights clearly and manage analytical project delivery.
15. Identify data and technology solutions aligned with business needs.
16. Leverage various tools and techniques to extract insights from industry trends.

Qualifications

• Master’s Degree in Computer Science, Data Science, Statistics, or related field.
• 10+ years of experience as a data scientist, preferably in healthcare.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Proficiency in Python and R, with experience in TensorFlow, Keras, or PyTorch.
• Strong understanding of statistical methods and machine learning algorithms.
• Experience with agentic workflows and RAG techniques.
• Expertise in model fine-tuning and data visualization tools.
• Experience with SQL, NoSQL, data warehousing, and ETL processes.
• Excellent problem-solving and critical thinking skills.

Preferred Qualifications

• PhD or additional experience.
• Experience with cloud platforms like Databricks, Snowflake, Azure AI Studio.
• Familiarity with NLP and computer vision techniques.

To apply, current Molina employees should use the intranet job listing. Molina Healthcare offers competitive benefits. The salary range is $117,731 - $275,491 annually, depending on location and experience. This is a full-time, mid-senior level position in the Engineering and IT sector, within the IT Services and Consulting industry.