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

Lensa; Saint Petersburg (FL); Remote; USD 117,000 - 276,000; Full time

Job summary

Join a forward-thinking company as a Principal Data Scientist specializing in Generative AI and Machine Learning. This remote role involves overseeing data science projects, mentoring a talented team, and aligning data initiatives with strategic business goals. You will lead the development of innovative AI solutions to revolutionize healthcare operations and enhance member experiences. With a focus on ethical data use and compliance, you will deploy cutting-edge models and collaborate with cross-functional teams to drive impactful decisions. If you are passionate about leveraging data to transform the healthcare landscape, this opportunity is perfect for you.

Qualifications

• 10+ years of experience as a data scientist, preferably in healthcare.
• Master's degree in Computer Science or related field required.

Responsibilities

• Oversee data science projects and mentor junior data scientists.
• Lead the development and implementation of data models.

Skills

Python

R

Machine Learning

AI Model Deployment

Data Analysis

Critical Thinking

Statistical Methods

Problem-Solving

Big Data Technologies

Model Fine-Tuning

Education

Master’s Degree in Computer Science

PhD in related field

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, stay updated on industry trends, ensure ethical data use, and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and operations to meet regulatory and security standards. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making 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 to improve models and develop new methodologies.
• AI Model Deployment, Monitoring & Governance: Deploy models into production, monitor performance, and ensure compliance with governance and regulations.
• Innovation Projects: Lead pilot projects to test and implement new AI technologies.
• Data Analysis and Interpretation: Extract insights from 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 to improve operational efficiency.
• RAG Pattern Utilization: Use retrieval-augmented generation techniques to enhance language model performance.
• Model Fine-Tuning: Fine-tune pre-trained models for specific tasks, ensuring optimal relevance and performance.
• Data Cleaning and Preprocessing: Prepare data for analysis by cleaning, handling missing values, and removing outliers.
• Collaboration: Work with cross-functional teams to integrate AI solutions into systems and processes.
• Documentation and Reporting: Document models and methodologies; communicate findings to non-technical stakeholders.
• Mentorship: Guide and support junior data scientists.
• Partner with business teams to develop ML models that improve key metrics like Star ratings and care gap reduction.
• Present analytical insights clearly to all audience levels and manage analytical project delivery.
• Identify and propose data solutions and technology opportunities 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’ experience as a data scientist, preferably in healthcare but open to other industries.
• Knowledge of big data technologies (Hadoop, Spark).
• Familiarity with relational databases and SDLC concepts.
• Critical thinking and problem-solving skills.
• Proficiency in Python and R; experience with 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 (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 (Databricks, Snowflake, Azure AI Studio).
• Familiarity with NLP and computer vision techniques.

To all current Molina employees: Apply through the intranet job listing.

Molina Healthcare offers competitive benefits. We are an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $117,731 - $275,491 / year.

Actual compensation varies based on location, experience, education, and skills.