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

Lensa; Orlando (FL); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading company is seeking a Principal Data Scientist to oversee data science projects and mentor a team. This role involves developing AI solutions, ensuring ethical data use, and aligning data initiatives with business goals. Candidates should have extensive experience in data science, particularly in healthcare, and be proficient in Python and R. The position is remote and offers the opportunity to pioneer generative AI healthcare solutions.

Qualifications

• 10+ years as a data scientist, preferably in healthcare.
• Proficiency in Python and R, experience with TensorFlow, Keras, PyTorch.

Responsibilities

• Oversee data science projects and mentor a team.
• Lead development and implementation of data models.
• Collaborate with cross-functional teams on AI solutions.

Skills

Critical Thinking

Problem Solving

Data Visualization

Statistical Methods

Machine Learning Algorithms

Python

R

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

Job Duties

• Research and Development: Stay current with advancements in AI and machine learning 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 testing new AI technologies.
• Data Analysis and Interpretation: Extract insights from data to inform strategic decisions.
• Machine Learning Model Development: Design, develop, and train models using various algorithms.
• Agentic Workflows Implementation: Develop workflows utilizing AI agents for autonomous tasks.
• RAG Pattern Utilization: Use retrieval-augmented generation to improve language models.
• Model Fine-Tuning: Adapt pre-trained models for specific tasks.
• Data Cleaning and Preprocessing: Prepare data for analysis.
• Collaboration: Work with cross-functional teams to integrate AI solutions.
• Documentation and Reporting: Document models and methodologies; communicate findings.
• Mentoring: Guide and support junior data scientists.
• Partner with business teams to develop models that improve Star ratings, reduce care gaps, etc.
• Present findings clearly to various audiences.
• Perform other duties as required, exploring data and technology solutions.
• Utilize various tools 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 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
• Strong critical thinking skills
• Proficiency in Python and R, experience with frameworks like TensorFlow, Keras, PyTorch
• Understanding of statistical methods and machine learning algorithms
• Experience with agentic workflows and RAG techniques
• Model fine-tuning experience
• Data visualization skills (Tableau, Power BI)
• Database management experience (SQL, NoSQL, ETL)
• Strong problem-solving skills

Preferred Education

PHD or additional relevant experience

Preferred Experience

• Experience with cloud platforms (Databricks, Snowflake, Azure AI Studio)
• Knowledge of NLP and computer vision techniques