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Senior Data Scientist

4 months, 2 weeks 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

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 14

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

Apply Now

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