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

Lensa; Salt Lake City (UT); Remote; USD 130,000 - 160,000; Full time

Job summary

A leading company is seeking a Principal Data Scientist specializing in Generative AI and Machine Learning. This remote role requires overseeing data science projects, managing teams, and aligning data initiatives with business goals. The successful candidate will lead the development of innovative data models and ensure ethical data use while collaborating with cross-functional teams. This position offers an opportunity to pioneer healthcare solutions that enhance member experience.

Qualifications

• 10+ years of experience as a data scientist, preferably in healthcare.
• Strong programming skills in Python and R; experience with TensorFlow, Keras, PyTorch.

Responsibilities

• Lead the development and implementation of data models.
• Deploy AI models into production and monitor their performance.
• Mentor and guide junior data scientists.

Skills

Critical Thinking

Problem Solving

Leadership

Programming in Python

Programming in R

Data Visualization

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

Job description

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

This role involves overseeing data science projects, managing a team, and aligning data initiatives with business goals. The candidate will lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensuring ethical data use and communicating complex technical concepts to non-technical stakeholders are essential. The role also includes leading initiatives on model governance and operations to meet regulatory and security standards. This position requires technical expertise, strategic thinking, and leadership skills to drive data-driven decision-making and pioneer generative AI healthcare solutions that aim to revolutionize healthcare operations and improve member experience.

Job Duties

• Research and stay current with advancements in AI and machine learning to improve existing models and develop new methodologies.
• Deploy AI models into production, monitor performance, and ensure compliance with governance and regulatory requirements.
• Lead pilot projects to test new AI technologies within the organization.
• Extract insights from complex datasets, identify patterns, and interpret data to inform strategic decisions.
• Design, develop, and train machine learning models using various algorithms and techniques.
• Develop and implement agentic workflows utilizing AI agents for autonomous tasks.
• Employ retrieval-augmented generation (RAG) patterns to enhance language model performance.
• Fine-tune pre-trained models for specific tasks and datasets.
• Perform data cleaning and preprocessing to ensure high-quality inputs for modeling.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Create documentation and report findings clearly to non-technical stakeholders.
• Mentor and guide junior data scientists.
• Partner with business teams to develop ML models that improve key metrics such as Star ratings and care gap reduction.
• Present analytical insights to diverse audiences and manage analytical project delivery.
• Identify data and technology solutions in response to changing business needs.
• Utilize a broad range of 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 of experience as a data scientist, preferably in healthcare but open to other industries.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with relational databases and SDLC concepts.
• Critical thinking and problem-solving skills.
• Strong programming skills in Python and R; experience with frameworks like TensorFlow, Keras, PyTorch.
• Understanding of statistical methods and machine learning algorithms.
• Experience with designing agentic workflows and RAG techniques.
• Proven experience in model fine-tuning.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
• Analytical and innovative problem-solving abilities.

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.