Sr. Data Scientist
About The Position
As a Senior Data Scientist at AKASA, you will focus on deep product analytics to understand, measure, and improve the impact of our GenAI products in the Revenue Cycle Management space. Positioned within the cross-functional Data Platform team, you will play a central role in helping AKASA build data-informed products and ensuring we deeply understand how our solutions impact some of the largest healthcare systems in the country. You will work with large-scale healthcare and revenue cycle datasets to evaluate product performance, identify opportunities to improve customer outcomes, and quantify the value our products deliver to health systems. Your work will combine statistical rigor with strong business and product intuition, using methods such as causal inference, experimentation, and observational analysis to inform critical product decisions and help guide product strategy and development.
Requirements
- Ph.D. and 3+ years of experience or Master’s and 5-7 years of experience or Bachelor’s and 8+ years of experience in Data Science, Statistics, Economics, Public Health, Computer Science, or a related field
- Proficiency in advanced statistical analysis and research design
- Proficiency in Python
- Proficiency in SQL
- Excellent communication skills, with the ability to communicate cross-functionally with a variety of stakeholders
- Highly self-sufficient and self-starting in solving complex problems and conducting projects end-to-end
- A passion and excitement about healthcare’s unique challenges and opportunities
Nice To Haves
- 2-4 years of experience specifically in the healthcare domain, working with EHR data, clinical data, claims data, or similar
- Experience in causal inference and/or econometrics
- Experience working with Data Warehouses
- Background in software development fundamentals and experience delivering software-based products
Responsibilities
- Leverage causal inference and other statistical methodologies to assess the value and impact of our products on key outcomes for health systems and providers using complex financial and healthcare data sources.
- Clearly communicate insights highlighting the impact of our products to a wide variety of stakeholders across the organization.
- Design and analyze product experiments (A/B tests and quasi-experiments) to evaluate product improvements and new features.
Benefits
- Flexible paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
- Generous parental leave policy
- Full employee coverage for life insurance
- Home office stipend
- Cell phone/internet reimbursement
- Company-paid holidays
- 401(K) plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
