Senior Data Scientist: Healthcare Analytics & Impact

Emendata, LLC; San Francisco (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Emendata, LLC is seeking a data scientist to turn ideas into practical analytic solutions in our San Francisco office. You will operationalize research questions, profile data sources, and develop models using statistics and ML, with careful validation and documentation.

You will communicate findings to technical and non-technical audiences, collaborate with stakeholders, and stay current on analytic methods to advance our institutional knowledge.

Qualifications

• Advanced degree or equivalent experience in a quantitative field with years of professional data work.
• Strong grounding in statistical and machine learning methods.
• Ability to explain complex analyses to non-technical stakeholders.

Responsibilities

• Operationalize research questions into analytic frameworks and deliverables
• Profile data sources and build usable datasets with meaningful features
• Evaluate analytic methods and select approaches for problem and environment
• Develop analyses and models using statistical and ML methods with documented process
• Design validation like baseline comparisons and sensitivity analyses
• Produce clear deliverables and present findings to technical and non-technical audiences
• Collaborate with stakeholders to incorporate feedback throughout development
• Stay current on analytic methods and contribute to institutional knowledge

Skills

Statistical methods & ML

Python

R

SQL

Data visualization

Communication

Independent work

Education

MS or PhD in data science, CS, statistics, applied mathematics, engineering, economics, or related field

B.S. with 5+ years relevant experience

Tools

Python

R

SQL

Job description

Emendata, LLC is seeking a data scientist to turn ideas into practical analytic solutions in our San Francisco office. You will operationalize research questions, profile data sources, and develop models using statistics and ML, with careful validation and documentation.

You will communicate findings to technical and non-technical audiences, collaborate with stakeholders, and stay current on analytic methods to advance our institutional knowledge.