Prominence

Prominence is a top healthcare advisory firm that maximizes data utilization, improving patient care, efficiency, and cost-effectiveness for hospitals.

Professional Services

Industrials

51-250 (90)

19 open positions

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Senior Data Scientist

1 month ago

United States

Full-time

Senior

Data Scientist

Data Science and Analytics

AWS Azure CI/CD Databricks GCP Looker Machine Learning MLflow MLOps NumPy Pandas Power BI Python SageMaker Scikit-learn Snowflake SQL Tableau Vertex AI

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Prominence

Prominence is a top healthcare advisory firm that maximizes data utilization, improving patient care, efficiency, and cost-effectiveness for hospitals.

Professional Services

51-250

View All Jobs 19

Description

Design, build, validate, deploy, and monitor machine learning models across the full data science lifecycle.
Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement.
Build AI-powered applications using LLM APIs, prompt engineering, and RAG pipelines for clinical and operational workflows.
Work with diverse healthcare data sources, including EHRs, claims, and clinical registries.
Translate complex analytical findings into actionable insights for clinical and operational stakeholders.
Document best practices and scalable frameworks that can be reused across client engagements.
Mentor and guide client counterparts to help sustain and expand project deliverables.
Collaborate with healthcare providers and consulting teams on advanced analytics solutions.
Support upcoming client engagements as part of an active pipeline tied to client demand.

Requirements

3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role.
Strong proficiency in Python for data science, including pandas, NumPy, and scikit-learn.
Strong SQL skills for data extraction and manipulation.
Hands-on experience building, validating, and deploying machine learning models such as classification, regression, clustering, and time-series forecasting.
Experience with MLOps best practices, including model versioning, CI/CD for ML, experiment tracking with MLflow or similar tools, and continuous monitoring.
Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines.
Experience with cloud-based data and ML platforms such as AWS, Azure, GCP, Databricks, or Snowflake.
Strong communication skills with the ability to present technical findings to non-technical audiences.
Healthcare industry experience with EHR data, claims, HL7/FHIR, and clinical terminologies is preferred.
Experience with population health analytics, risk stratification, or social determinants of health is preferred.
Understanding of research enablement workflows such as cohort identification, clinical trial matching, and outcomes research is preferred.
Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks is preferred.
Familiarity with data visualization and BI tools such as Tableau, Power BI, or Looker is preferred.
Revenue cycle, staffing optimization, or other operational analytics experience is preferred.
Advanced degree such as a Master’s or PhD in a quantitative field like computer science, statistics, or biostatistics is preferred.
Must be legally authorized to work in the United States without sponsorship.
Must be able to work remotely and independently from a home office.
Willingness to travel for onsite meetings and business reviews as needed.
This is a full-time, 40-hour-per-week position.

Benefits

Competitive salaried and hybrid compensation plans.
Medical, HSA, dental, and vision coverage.
401(k) retirement plan.
Life insurance, including basic, voluntary, and AD&D coverage.
Dependent care and health savings accounts.
Short-term and long-term disability coverage.
Paid time off, including vacation, sick time, and public holidays.
Training and development fund.
Work-from-home flexibility.
Charitable giving opportunities to causes you believe in.

Interested in this position?

Apply directly on the company website

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