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

Lensa; Fort Worth (TX); Remote; USD 120,000 - 180,000; Full time

Job summary

Join a forward-thinking company as a Principal Data Scientist specializing in Generative AI and Machine Learning. In this pivotal role, you will lead data science initiatives, mentor a dynamic team, and align data strategies with business objectives. Your expertise will drive innovative healthcare solutions, enhancing member experiences through cutting-edge AI technologies. Collaborate with cross-functional teams to ensure ethical data use and effective model governance. This exciting opportunity offers you a chance to shape the future of healthcare operations while working in a supportive and collaborative environment.

Qualifications

• 10+ years in data science, preferably in healthcare or relevant industry.
• Master’s Degree required; PhD preferred for advanced roles.

Responsibilities

• Oversee data science projects and mentor a team in AI and machine learning.
• Lead model development and ensure compliance with governance standards.

Skills

Data Science

Machine Learning

Python

R

Deep Learning

Statistical Methods

Critical Thinking

Data Visualization

SQL

Big Data Technologies

Education

Master’s Degree in Computer Science

PhD or additional experience

Tools

TensorFlow

Keras

PyTorch

Tableau

Power BI

Hadoop

Spark

Databricks

Snowflake

Azure AI Studio

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 meet 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 AI and machine learning advancements and apply these insights to improve 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 within the organization.
• Data Analysis and Interpretation: Extract insights from complex datasets, identify patterns, and inform strategic decisions.
• Machine Learning Model Development: Design, develop, and train models using various algorithms, including deep learning and reinforcement learning.
• Agentic Workflows Implementation: Develop workflows utilizing AI agents for autonomous tasks, improving operational efficiency.
• RAG Pattern Utilization: Use retrieval-augmented generation techniques to enhance language models with external knowledge.
• Model Fine-Tuning: Fine-tune pre-trained models for specific applications to ensure relevance and performance.
• Data Cleaning and Preprocessing: Prepare data by cleaning, handling missing values, and removing outliers.
• Collaboration: Work with cross-functional teams to integrate AI solutions into existing systems.
• Documentation and Reporting: Document models and methodologies; communicate findings to stakeholders.
• Mentoring: Guide and support junior data scientists.
• Partner with business teams to develop ML models improving star ratings, reducing care gaps, and meeting other objectives.
• Present analytical insights clearly to all audiences and manage analytical project delivery.
• Identify and refer data solution opportunities as business needs evolve.
• Utilize various tools and techniques to extract industry or sector insights.

Job Qualifications

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

Required Experience/Skills

• 10+ years in data science, preferably in healthcare, or relevant industry experience
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Familiarity with relational databases and SDLC concepts
• Strong critical thinking skills for unstructured problems
• Programming skills in Python and R; experience with frameworks like TensorFlow, Keras, PyTorch
• Solid understanding of statistical methods and machine learning algorithms
• Experience 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, NoSQL, data warehousing, and 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)
• Knowledge of NLP and computer vision techniques