Senior Data Scientist, Health Analytics & Impact

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

Job summary

Emendata, LLC in San Francisco is seeking a data-analytic professional to turn complex questions into actionable insights. You will structure undefined problems, profile data sources, and build robust analytic solutions for client projects in healthcare program integrity.

The role combines statistical and machine learning work with clear communication to diverse audiences, with opportunities to influence policy and operational decisions. Onsite work in San Francisco is required.

Qualifications

• Education in data science or related quantitative field with multiple years of relevant professional experience.
• Strong grounding in statistical and machine learning methods with practical application experience.
• Experience performing analyses using Python, R, or SQL; ability to communicate results clearly.

Responsibilities

• Operationalize research questions into analytic frameworks and deliverables with minimal direction.
• Explore data sources to understand structure, quality, and limitations; build datasets and features for analysis.
• Evaluate analytic methods and tools; select approaches suited to data and problem.
• Develop analyses and models using statistical and machine learning methods with rigorous planning and testing.
• Design validation approaches including baseline comparisons and sensitivity analyses.
• Produce clear deliverables (reports/presentations) explaining data and methodology to diverse audiences.
• Collaborate with stakeholders to incorporate feedback and understand policy context; stay current on analytic methods.

Skills

Statistical methods

Machine learning

Data analysis

Communication

Independent work

Client-facing

Education

MS or PhD in data science / related quantitative field

Bachelor’s degree + 5 years experience

Tools

Python

R

SQL

Job description

Emendata, LLC in San Francisco is seeking a data-analytic professional to turn complex questions into actionable insights. You will structure undefined problems, profile data sources, and build robust analytic solutions for client projects in healthcare program integrity.

The role combines statistical and machine learning work with clear communication to diverse audiences, with opportunities to influence policy and operational decisions. Onsite work in San Francisco is required.