RRemoteville
Prominence Advisors logoProminence Advisors

Senior Data Scientist

Skills
Azure Data FactoryComputer ScienceData AnalyticsDatabasesHealthcareModelingPopulation Health
Role

What the job involves

The main requirements, responsibilities and hiring steps.

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 and 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 experiment tracking 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

Nice to have

  • Healthcare industry knowledge
  • Population health analytics
  • Research enablement knowledge
  • Vector database familiarity
  • Data visualization skills
  • Operational analytics experience
  • Advanced degree in quantitative field

Day to day

  • Designs, builds, validates, and deploys machine learning models across the full data science lifecycle
  • Develops advanced analytics solutions for clinical prediction population health operational optimization and research enablement
  • Builds AI-powered applications using LLM APIs prompt engineering and RAG pipelines to support clinical and operational workflows
  • Translates complex analytical findings into actionable insights for healthcare stakeholders and mentors client counterparts to sustain deliverables

Hiring process

  • Apply below to connect with the Talent team about immediate openings and future consulting projects