Senior Data Scientist — Healthcare Analytics & Social Impact

emendata; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Emendata is seeking a data scientist to turn open-ended questions into practical analytic solutions. You will operationalize research questions, profile data sources, and develop robust models using statistical and machine learning methods.

The role emphasizes clear communication to technical and non-technical audiences and collaboration with clients on policy and program contexts. Ideal candidates have advanced degrees (MS/PhD) and 3+ years of relevant experience, with strong Python, R, and SQL

Qualifications

• Advanced degree in data science, CS, statistics, or related field with 3+ years of experience
• Strong grounding in statistical and ML methods used in practice
• Experience writing code for data analyses in Python, R, or SQL

Responsibilities

• Turn questions from management into analytic frameworks and deliverables
• Profile data sources, build datasets, and craft meaningful features
• Evaluate analytic methods and choose appropriate approaches for the problem
• Develop analyses and models with a disciplined, iterative process
• Design validation, baselines, tests, and sensitivity analyses
• Produce clear reports and presentations for technical and non-technical audiences
• Collaborate with stakeholders to refine approaches and incorporate feedback
• Stay current on analytic methods and contribute to institutional knowledge

Skills

Data science

Machine learning

Python

R

SQL

Education

M.S. or Ph.D. in data science or related quantitative field

3+ years of relevant professional experience

Tools

Python

R

SQL

Job description

Emendata is seeking a data scientist to turn open-ended questions into practical analytic solutions. You will operationalize research questions, profile data sources, and develop robust models using statistical and machine learning methods.

The role emphasizes clear communication to technical and non-technical audiences and collaboration with clients on policy and program contexts. Ideal candidates have advanced degrees (MS/PhD) and 3+ years of relevant experience, with strong Python, R, and SQL