Senior Data Scientist

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Prominence Advisors

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🏥 Healthcare

💼 Consulting

🛡️ Insurance

Healthcare • Consulting • Insurance

Prominence Advisors is a data enablement company that has been empowering health systems across the United States with self-service analytics since 2011. They integrate data from multiple sources in real-time, enabling large healthcare providers to maximize the value of their data. Prominence helps healthcare organizations leverage their data to make healthcare smarter, improve patient outcomes, reduce the cost of care, and increase operational efficiencies. Their solutions have saved clients millions of dollars and empowered healthcare leaders by building trust in their data through governed self-service analytics.

📋 Description

• Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement • Build AI-powered applications leveraging 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 • Manage documentation of best practices and scalable frameworks across client engagements • Mentor and guide client counterparts to sustain and expand project deliverables

🎯 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 proficiency in SQL for data extraction and manipulation • Hands-on experience building, validating, and deploying machine learning models, including 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, 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, including AWS, Azure, GCP, Databricks, or Snowflake • Strong communication skills with the ability to present technical findings to non-technical audiences • Healthcare industry knowledge and experience with EHR data, claims, HL7/FHIR, and clinical terminologies • Experience with population health analytics, risk stratification, or social determinants of health • Understanding of research enablement workflows, including cohort identification, clinical trial matching, and outcomes research • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks • Familiarity with Tableau, Power BI, or Looker • Revenue cycle, staffing optimization, or other operational analytics experience • Must be able to work remotely and independently from a personal home office • Willingness to travel for onsite meetings and business reviews as needed • Must be legally authorized to work in the United States without sponsorship

🏖️ Benefits

• Competitive Salaried and Hybrid Compensation Plans • Health Care Plan (Medical, HSAs, Dental & Vision) • Retirement Plan (401k) • Life Insurance (Basic, Voluntary & AD&D) • Dependent & Health Savings Accounts • Short Term & Long Term Disability • Paid Time Off (Vacation/Sick & Public Holidays) • Training & Development Fund • Work From Home • Charitable Giving to Causes You Believe In