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

Lensa; Buffalo (NY); Remote; USD 117,000 - 276,000; Full time

Job summary

An established industry player is seeking a Principal Data Scientist to lead transformative AI initiatives in healthcare. This role involves managing data science projects, mentoring a talented team, and aligning data strategies with business objectives. The ideal candidate will possess a strong technical background in machine learning, Python, and R, with a passion for innovation in healthcare solutions. Join a forward-thinking organization that values ethical data practices and fosters collaboration across departments to enhance member experiences through cutting-edge AI technologies.

Qualifications

• 10+ years’ experience in data science, preferably in healthcare.
• Strong programming skills in Python and R, experience with TensorFlow and Keras.
• Proficiency in statistical methods and machine learning algorithms.

Responsibilities

• Oversee data science projects and manage a team.
• Lead the development and implementation of data models.
• Collaborate with cross-functional teams to integrate AI solutions.

Skills

Data Science

Machine Learning

Python

R

Statistical Methods

Problem-Solving

Analytical Skills

Education

Master’s Degree in Computer Science

PHD or additional experience

Tools

Hadoop

Spark

TensorFlow

Keras

PyTorch

Databricks

Snowflake

Azure AI Studio

Job description

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

2 days ago - Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

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 ops 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, aimed at revolutionizing healthcare operations and enhancing 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 models into production, monitor performance, and ensure compliance with governance and regulatory standards.
• Innovation Projects : Lead pilot projects to test and implement new AI technologies.
• 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 and techniques.
• Agentic Workflows : Develop workflows utilizing AI agents for autonomous tasks.
• RAG Pattern Utilization : Use retrieval-augmented generation techniques to enhance language models.
• Model Fine-Tuning : Adapt pre-trained models to specific tasks for optimal performance.
• Data Cleaning and Preprocessing : Prepare data for analysis ensuring high quality.
• Collaboration : Work with cross-functional teams to integrate AI solutions.
• Documentation and Reporting : Document models and methodologies, communicate findings clearly.
• Mentorship : Guide and coach junior data scientists.
• Business Partnership : Collaborate with business and tech teams to develop models that improve key metrics.
• Presentation : Communicate analytical findings effectively to all audiences.
• Additional duties as needed, including exploring data solutions and technology opportunities.

Job Qualifications

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

Required Experience / Skills :

• 10+ years’ experience in data science, preferably in healthcare, but other industries considered.
• Knowledge of big data tech (Hadoop, Spark), relational databases, SDLC.
• Strong programming skills in Python and R, experience with TensorFlow, Keras, PyTorch.
• Proficiency in statistical methods, machine learning algorithms.
• Experience with agentic workflows, RAG techniques, model fine-tuning.
• Analytical and 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 a competitive benefits and compensation package. EOE M / F / D / V.

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

• Seniority level : Mid-Senior level
• Employment type : Full-time
• Job function : Engineering and IT
• Industries : IT Services and Consulting

J-18808-Ljbffr

Create a job alert for this search

Principal Data Scientist • Buffalo, NY, United States