Sr. Data Scientist

About AKASA

At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.

This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.

Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.

Some of our recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, #1 most promising healthcare RCM startup of 2025 by Black Book Market Research, and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past 6 years in a row.

We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.

About The Role

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.

What You'll Do

• 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.

Skills & Qualifications

• 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

What We Offer

• 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

Compensation

Based on market data and other factors, the salary range for this position is $210,000-$240,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.

AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.

AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].