Lead Data Scientist

Details

• Department: Ascension Data Science Institute
• Schedule: Full-time, 8 hour day shift, Monday - Friday
• Location: Remote

Benefits

Paid time off (PTO)

Various health insurance options & wellness plans

Retirement benefits including employer match plans

Long-term & short-term disability

Employee assistance programs (EAP)

Parental leave & adoption assistance

Tuition reimbursement

Ways to give back to your community

Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance and salary range at the time of the offer.

Responsibilities

We are seeking a Lead Data Scientist to drive the development and implementation of Machine Learning and Generative AI solutions to address complex healthcare challenges. In this role, you will lead cross-functional teams in building end-to-end clinical and enterprise applications, collaborating closely with stakeholders to define requirements, align goals, and evaluate impact.

• Serve as a technical consultant to project and product managers across multiple functions and departments.
• Lead the design and implementation of Machine Learning and Generative AI applications, including content search, chat, and traditional data science modeling.
• Query, analyze, transform, and present data using SQL, Python, and Looker within Google Cloud Platform (Google Cloud Platform).
• Proficiency with Generative AI topics such as multi-agent workflows, language embeddings, Retrieval-Augmented Generation (RAG), LLM task evaluation, and synthetic data creation.
• Expertise in A/B testing, clustering, ensemble modeling, dimensionality reduction, normal behavior modeling, unstructured data.
• Familiarity with containerized applications and CI/CD pipelines within Kubernetes environments.
• Monitor deployed models for performance, feature drift, and other observability metrics.

Requirements

Education:

• High School diploma equivalency with 3 years of cumulative experience OR Associate's degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.
• 3 years of leadership or management experience preferred.

Additional Preferences

#internalops #ADSI #LI-remote

Why Join Our Team

Ascension associates are key to our commitment of transforming healthcare and providing care to all, especially those most in need. Join us and help us drive impact through reimagining how we can deliver a people-centered healthcare experience and creating the solutions to do it. Explore career opportunities across our ministry locations and within our corporate headquarters.

Ascension is a leading non-profit, faith-based national health system made up of over 134,000 associates and 2,600 sites of care, including more than 140 hospitals and 40 senior living communities in 19 states.

Our Mission, Vision and Values encompass everything we do at Ascension. Every associate is empowered to give back, volunteer and make a positive impact in their community. Ascension careers are more than jobs; they are opportunities to enhance your life and the lives of the people around you.

Equal Employment Opportunity Employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws.

For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.

Pay Non-Discrimination Notice

Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.

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Responsibilities

We are seeking a Lead Data Scientist to drive the development and implementation of Machine Learning and Generative AI solutions to address complex healthcare challenges. In this role, you will lead cross-functional teams in building end-to-end clinical and enterprise applications, collaborating closely with stakeholders to define requirements, align goals, and evaluate impact.

• Serve as a technical consultant to project and product managers across multiple functions and departments.
• Lead the design and implementation of Machine Learning and Generative AI applications, including content search, chat, and traditional data science modeling.
• Query, analyze, transform, and present data using SQL, Python, and Looker within Google Cloud Platform (Google Cloud Platform).
• Proficiency with Generative AI topics such as multi-agent workflows, language embeddings, Retrieval-Augmented Generation (RAG), LLM task evaluation, and synthetic data creation.
• Expertise in A/B testing, clustering, ensemble modeling, dimensionality reduction, normal behavior modeling, unstructured data.
• Familiarity with containerized applications and CI/CD pipelines within Kubernetes environments.
• Monitor deployed models for performance, feature drift, and other observability metrics.

Qualifications

Education:

• High School diploma equivalency with 3 years of cumulative experience OR Associate's degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.
• 3 years of leadership or management experience preferred.