Senior Data Scientist

What you'll do

• Apply machine learning and statistical techniques to healthcare claims data to build new metrics and clinical ontologies.
• Transform public financial data into clear signals regarding the financial health of healthcare organizations.
• Build entity resolution and record-linkage models across health systems, providers, employers, and payers.
• Develop affiliation and network mapping to infer how organizations and people connect and flow.
• Infer organizational structures and decision-maker maps from qualitative signals like titles and role characteristics.
• Design data-sourcing methodologies to combine heterogeneous inputs into accurate and defensible account signals.
• Build models for account targeting, segmentation, and patient-volume or disease-state signals.
• Partner with engineering and product teams to move solutions from prototype to production.

What we're looking for

• 5+ years of hands-on data science and statistics experience.
• 5+ years of experience working with healthcare data and the US healthcare system.
• Experience with healthcare claims data (medical and/or pharmacy) and derived metrics.
• Experience with healthcare organizational data including HCO/HCP, IDN, GPO, and payer data.
• Experience developing clinical ontologies or standardized healthcare data models.
• Experience with entity resolution, record linkage, or fuzzy matching on real-world, imperfect data.
• Track record of inferring structure from noisy data through cleansing, experiment design, and scaling.
• M.S. in Statistics, Computer Science, Machine Learning, Mathematics, or another quantitative discipline (preferred).