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

Lensa; Santa Fe (NM); Remote; USD 117,000 - 276,000; Full time

Job summary

A leading company in the healthcare sector is seeking a Principal Data Scientist specializing in Generative AI and machine learning. This remote position focuses on developing data models, leading projects, and ensuring ethical data use to enhance healthcare operations. Candidates should have extensive experience in data science, particularly within healthcare, and possess strong technical skills in Python, R, and big data technologies.

Qualifications

• 10+ years of experience in data science, preferably in healthcare.
• Knowledge of big data technologies and proficiency in Python and R.
• Experience with agentic workflows and RAG techniques.

Responsibilities

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

Skills

Machine Learning

Data Science

Python

R

Statistical Methods

Problem Solving

Education

Master’s Degree in Computer Science, Data Science, Statistics

Tools

Hadoop

Spark

TensorFlow

Keras

PyTorch

Databricks

Snowflake

Azure AI Studio

Job description

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

This role involves overseeing data science projects, leading a team, and aligning data initiatives with business goals. The candidate will develop data models, collaborate with cross-functional teams, and stay current with industry trends. The position emphasizes ethical data use, model governance, and model operations to meet regulatory standards. The goal is to drive data-driven decision-making and pioneer generative AI healthcare solutions to transform healthcare operations and improve member experience.

Key Responsibilities

• Research and develop AI and machine learning methodologies, applying the latest advancements.
• Deploy, monitor, and govern AI models in production, ensuring compliance and performance.
• Lead innovative pilot projects for new AI technologies.
• Extract insights from complex datasets to inform strategic decisions.
• Design, develop, and train machine learning models using various algorithms.
• Implement agentic workflows utilizing AI agents for autonomous tasks.
• Utilize retrieval-augmented generation (RAG) techniques to enhance language models.
• Fine-tune pre-trained models for specific applications.
• Prepare data through cleaning and preprocessing for modeling.
• Collaborate with cross-functional teams to integrate AI solutions.
• Create documentation and report findings to non-technical stakeholders.
• Mentor and guide junior data scientists.
• Work with business teams to improve metrics like Star ratings and reduce care gaps.
• Present analytical insights clearly across all levels of the organization.
• Identify and refer opportunities for data and technology solutions.
• Stay informed on industry trends and apply relevant tools and techniques.

Minimum Qualifications

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

Preferred Qualifications

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

This is a full-time, mid-senior level position with a pay range of $117,731 - $275,491 annually. The role is remote, with a focus on engineering and IT within the healthcare industry.