PRINCIPAL DATA SCIENTIST - GENERATIVE AI, MACHINE LEARNING, PYTHON, R - REMOTE

Lensa; Milwaukee (WI); Remote; USD 117,000 - 276,000; Full time

Job summary

Join a forward-thinking company as a Principal Data Scientist, where you'll lead innovative projects in generative AI and machine learning. This remote role offers the chance to oversee impactful data science initiatives, mentor a talented team, and drive strategic decision-making to enhance healthcare operations. With a focus on ethical data use and collaboration, you will pioneer solutions that revolutionize member experiences. If you have a passion for data and a desire to make a difference, this is the perfect opportunity for you!

Qualifications

• 10+ years of experience as a data scientist, preferably in healthcare.
• Proficiency in Python and R; experience with TensorFlow, Keras, PyTorch.
• Strong critical thinking skills for unstructured problems.

Responsibilities

• Oversee data science projects and manage a team.
• Lead development and implementation of data models.
• Extract insights from complex datasets to inform decisions.

Skills

Data Science

Machine Learning

Python

R

Big Data Technologies

Statistical Methods

Data Visualization

Critical Thinking

Analytical Skills

Problem-Solving

Education

Master’s Degree in Computer Science

PhD or additional experience

Tools

Hadoop

Spark

TensorFlow

Keras

PyTorch

Tableau

Power BI

Databricks

Snowflake

Azure AI Studio

Job description

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

1 day ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, Molina Healthcare, is seeking professionals. Apply via Lensa today!

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 standards. 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

1. Research and Development: Stay current with advancements in AI and machine learning, applying these 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 to 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, improving operational efficiency.
7. RAG Pattern Utilization: Use retrieval-augmented generation techniques to enhance language model outputs.
8. Model Fine-Tuning: Fine-tune pre-trained models for specific applications.
9. Data Cleaning and Preprocessing: Prepare data for analysis, ensuring high quality inputs.
10. Collaboration: Work with cross-functional teams to integrate AI solutions.
11. Documentation and Reporting: Document models and methodologies; communicate findings effectively.
12. Leadership: Mentor and guide junior data scientists.
13. Business Partnership: Collaborate with business and technology teams to build models that improve key metrics like star ratings and care gaps.
14. Presentations: Convey complex analytical insights clearly to diverse audiences.
15. Additional Duties: Adapt to changing business needs, identify data solution opportunities, and refer to appropriate teams for implementation.
16. Industry Insights: Use tools and techniques to analyze industry trends for strategic advantage.

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
• Strong critical thinking skills for unstructured problems
• 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
• Expertise in model fine-tuning
• Data visualization skills (e.g., Tableau, Power BI)
• Database management experience (SQL, NoSQL, ETL)
• Analytical and problem-solving skills

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

Additional Information

To apply, current Molina employees should use the intranet. Molina offers competitive benefits. Equal Opportunity Employer. Pay Range: $117,731 - $275,491 annually. Actual compensation varies based on location, experience, education, and skills.