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

Lensa; Seattle (WA); Remote; USD 117,000 - 276,000; Full time

Job summary

Join a forward-thinking company as a Principal Data Scientist, where you will lead innovative data science projects focused on generative AI and machine learning to revolutionize healthcare operations. This role involves managing a talented team, developing cutting-edge data models, and ensuring ethical data use while collaborating with cross-functional teams. You'll have the opportunity to drive data-driven decision-making and enhance member experiences through advanced AI technologies. If you're passionate about leveraging data to make a significant impact in the healthcare industry, this is the perfect opportunity for you.

Qualifications

• 10+ years of experience as a data scientist, preferably in healthcare.
• Strong programming skills in Python and R, with experience in TensorFlow and Keras.

Responsibilities

• Oversee data science projects and mentor team members.
• Lead the development and implementation of data models for healthcare solutions.

Skills

Data Science

Machine Learning

Python

R

Hadoop

Spark

TensorFlow

Keras

PyTorch

Data Visualization

Education

Master’s Degree in Computer Science

PhD or additional experience

Tools

Tableau

Power BI

SQL

NoSQL

ETL

Databricks

Snowflake

Azure AI Studio

Job description

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

4 days 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 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, aiming 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 existing models and develop new methodologies.
• AI Model Deployment, Monitoring & Governance: Deploy AI 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 to 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 to enhance language model performance with external knowledge.
• Model Fine-Tuning: Fine-tune pre-trained models for specific tasks and datasets.
• Data Cleaning and Preprocessing: Prepare data for analysis, ensuring high quality inputs.
• Collaboration: Work with cross-functional teams to integrate AI solutions into existing systems.
• Documentation and Reporting: Document models and methodologies; communicate findings effectively.
• Mentoring: Guide and support less experienced data scientists.
• Partner with business and tech teams to develop models that improve Star ratings, reduce care gaps, and meet other objectives.
• Present analytical insights clearly to all audiences and manage analytical project delivery.
• Identify data solutions and technology opportunities, referring to appropriate teams for implementation.
• Leverage industry trends and tools to extract insights.

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)
• Understanding of relational databases and SDLC concepts
• Critical thinking and problem-solving skills
• Strong programming skills in Python and R; experience with TensorFlow, Keras, or PyTorch
• Proficiency in statistical methods and machine learning algorithms (k-NN, Naive Bayes, SVM, neural networks)
• Experience with designing agentic workflows and RAG techniques
• Expertise in fine-tuning models
• Data visualization skills (Tableau, Power BI)
• Database management experience (SQL, NoSQL, ETL)
• Analytical and innovative problem-solving skills

Preferred Education

PHD or additional experience

Preferred Experience

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

To all current Molina employees: Apply through the intranet.

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

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

Additional Details

• Seniority Level: Mid-Senior level
• Employment Type: Full-time
• Job Function: Engineering and IT
• Industries: IT Services and Consulting