Senior Data Scientist

Internetwork Expert; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health care plan

401k retirement plan

Paid time off

Remote work from home

Professional development funds

Job summary

Prominence Advisors seeks a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to deliver advanced analytics for leading healthcare providers. You will design, build, and deploy models and AI-powered applications that improve patient outcomes, optimize operations, and accelerate research.

You will work with EHRs, claims data, and registries, translating complex results into actionable insights for clinical and operational stakeholders,

Qualifications

• 3-5+ years of professional experience in data science, ML, or related quantitative role.
• Strong Python and SQL proficiency for data extraction and manipulation.
• Hands-on experience building, validating, deploying ML models (classification, regression, clustering, time-series).
• Experience with MLOps practices (model versioning, CI/CD for ML, experiment tracking, monitoring).
• Practical experience with AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines.
• Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, Snowflake).
• Strong communication skills to present technical findings to non-technical stakeholders.

Responsibilities

• Design, build, validate, and deploy ML models across the life cycle (exploration, feature engineering, deployment, monitoring).
• Develop analytics solutions for clinical prediction, population health, and research enablement.
• Build AI-powered applications using LLM APIs, prompts, and RAG pipelines for workflows.
• Work with diverse healthcare data sources (EHRs, claims, registries).
• Translate analytical findings into actionable insights for stakeholders.
• Document best practices and scalable frameworks for client engagements.
• Mentor client counterparts to sustain project deliverables.

Skills

Python

SQL

ML models

MLOps

LLM APIs

Data visualization

Communication

Education

Master's or PhD in quantitative field

Tools

Tableau

Power BI

Looker

Job description

Prominence Advisors is actively seeking a Senior Data Scientistto join our team.

Who We Are
Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem - spanning providers, payers, and life sciences - we turn complex data into actionable insight.

We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions.

Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations - combining data, consulting, and learning to advance commercial excellence.

By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter.

Job Summary

Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows.

• 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 to support clinical and operational workflows.
  
• Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries.
  
• Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders.
  
• Manage documentation of best practices and scalable frameworks that can be applied across client engagements.
  
• Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables.

Minimum Qualifications

• 3-5+ years of professional experience in data science, machine learning, or a closely related quantitative role.
  
• Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation.
  
• Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting).
  
• Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, 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 at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake.
  
• Strong communication skills with the ability to present technical findings to non-technical audiences.
  

Desired Qualifications

• Healthcare industry knowledge and experienceincludingEHR data, claims, HL7/FHIR, clinical terminologies.
  
• Experience with population health analytics, risk stratification, or social determinants of health.
  

• Understandingofresearch enablement workflowsincludingcohort identification, clinical trial matching,andoutcomes research.
  

• Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks.
  

• Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker).
  

• Revenue cycle, staffing optimization, or other operational analytics experience.
  

• Advanced degree (Master'sor PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline

Skills, Knowledge, and Abilities

• Professional:Demonstratesa high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values("Do Great Work and Move Mountains").
  

• Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow.
  

• Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently.
  

• Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments.
  

• Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions.
  

• Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms.
  

• Proactive:Anticipatespotential issues, addresses concerns before they elevate, and effectively raises them when necessary.
  

• Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment.
  

Physical and Medical Standards, Working Conditions and Environment

• Must be able to sit or stand at a computer and work remotely and independently from personal home office
  

• Willingness to travel for onsite meetings and business reviews as needed

Hours WorkedThis is a Full Time,40 hourper week position.

This role is part of our active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand.

Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position:

• 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

Employment Eligibility

Must be legally authorized to work in the United States without sponsorship.

Commitment to Equal Opportunity

The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities.

Partnership Eligibility

Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners.