AKASA

Sr. Data Scientist

AKASA1 weeks ago
Location

Remote - United States

Workplace

Remote

Type

Full Time

Salary

USD 210,000 – 240,000

Level

Senior

Role

Data Scientist

Posted

Mar 6, 2026

Full TimeRemoteSenior

The role

Summary

AKASA is seeking a Senior Data Scientist to drive deep product analytics for their innovative GenAI solutions in healthcare revenue cycle management. The ideal candidate will leverage advanced statistical methodologies to assess product impact, design experiments, and communicate critical insights across the organization.

What you'll do

Causal Inference: Leverage advanced statistical methodologies to assess product value and impact on healthcare system outcomes
Experimental Design: Design and analyze product experiments including A/B tests and quasi-experiments to evaluate product improvements
Stakeholder Communication: Clearly communicate complex analytical insights to diverse organizational stakeholders

What we look for

Technical

PythonAdvanced proficiency in Python programming for data science and analysis
SQLStrong SQL skills for complex data querying and manipulation
Statistical AnalysisAdvanced statistical analysis and research design capabilities

Education

Advanced DegreePh.D., Master's, or Bachelor's in Data Science, Statistics, Economics, Public Health, Computer Science, or related field

Experience

Work Experience3-8+ years of experience depending on education level, with preference for healthcare domain expertise

Skills

Required skills

Statistical MethodologyAdvanced proficiency in causal inference, experimental design, and observational analysis
Cross-functional CommunicationAbility to articulate complex data insights to technical and non-technical stakeholders

Nice to have

Healthcare Domain KnowledgeExperience working with EHR, clinical, or claims data in healthcare settings
EconometricsBackground in causal inference and econometric analysis techniques

Compensation & benefits

Salary

USD 210,000 – 240,000 (annual)

Stock options

Available

Benefits

Flexible PTO

Comprehensive paid time off policy

Healthcare Coverage

Full health, dental, and vision insurance

HSA Contribution

Employer contribution to Health Savings Account

Parental Leave

Generous parental leave policy

Home Office Support

Stipend for home office setup and remote work expenses

Retirement Plan

401(K) plan with potential employer matching

Interview process

  1. 1
    Initial Screening — Review of candidate's background, experience, and alignment with role requirements
  2. 2
    Technical Assessment — Evaluation of statistical analysis skills and healthcare data science capabilities
  3. 3
    Stakeholder Interviews — Meetings with cross-functional team members to assess communication and collaborative skills
  4. 4
    Final Interview — In-depth discussion with leadership about strategic contributions and cultural fit
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AKASA

AKASA

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AKASA uses artificial intelligence and machine learning to automate health systems and hospital revenue cycle operations, improving efficiency and reducing administrative costs.

South San Francisco, CA, USAFounded 2017akasa.com

Tech Stack

Languages
PythonSQL
Databases
Healthcare Databases
Tools
Data Warehouses
Other
Statistical Analysis Tools
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