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

Lensa; Tucson (AZ); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company in healthcare is seeking a Principal Data Scientist to oversee data science projects and lead a team. The role involves developing AI solutions, ensuring compliance with regulations, and driving data-driven decision-making. Candidates should possess a Master's degree and extensive experience in data science, particularly in healthcare.

Qualifications

• 10+ years' experience as a data scientist, preferably in healthcare.
• Knowledge of big data technologies and relational databases.
• Familiarity with SDLC concepts and strong statistical knowledge.

Responsibilities

• Oversee data science projects and mentor junior data scientists.
• Lead development and implementation of data models.
• Collaborate with cross-functional teams and ensure ethical data use.

Skills

Critical thinking

Problem-solving

Data visualization

Analytical abilities

Statistical knowledge

Machine learning knowledge

Proficiency in Python

Proficiency in R

Expertise in model fine-tuning

Experience with agentic workflows

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

ETL

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 comply with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making and pioneer generative AI healthcare solutions that aim to revolutionize healthcare operations and enhance member experience.

Job Duties

1. Research and Development: Stay current with advancements in AI and machine learning, applying insights to improve existing models and develop new methodologies.
2. AI Model Deployment, Monitoring & Governance: Deploy models into production, monitor performance, and ensure compliance with governance and regulatory standards.
3. Innovation Projects: Lead pilot projects to test and implement new AI technologies.
4. Data Analysis and Interpretation: Extract insights from complex datasets, identify patterns, and inform strategic decisions.
5. Machine Learning Model Development: Design, develop, and train models using various algorithms, including deep learning and reinforcement learning.
6. Agentic Workflows Implementation: Develop workflows utilizing AI agents for autonomous tasks to improve operational efficiency.
7. RAG Pattern Utilization: Use retrieval-augmented generation to enhance language model outputs with external knowledge.
8. Model Fine-Tuning: Fine-tune pre-trained models for specific tasks and datasets.
9. Data Cleaning and Preprocessing: Prepare data for analysis, ensuring high quality inputs.
10. Collaboration: Work with cross-functional teams to integrate AI solutions into systems.
11. Documentation and Reporting: Document models and methodologies; communicate findings effectively.
12. Mentorship: Guide and coach junior data scientists.
13. Partner with business and tech teams to develop ML models that improve Star ratings, reduce care gaps, and meet other objectives.
14. Present analytical insights clearly to all audiences and manage analytical project delivery.
15. Identify and refer data solution opportunities aligned with business needs.
16. Utilize industry trends and tools to extract insights and drive innovation.

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 other industries considered
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Familiarity with relational databases and SDLC concepts
• Critical thinking and problem-solving skills
• Proficiency in Python and R, with experience in frameworks like TensorFlow, Keras, or PyTorch
• Strong statistical and machine learning knowledge (e.g., SVM, neural networks)
• Experience with agentic workflows and RAG techniques
• Expertise in model fine-tuning
• Data visualization skills (e.g., Tableau, Power BI)
• Database management experience (SQL, NoSQL, ETL)
• 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

To all current Molina employees: Apply through the intranet job listing. Molina offers competitive benefits. Equal Opportunity Employer (EOE) M/F/D/V.