Director of Data Science / Machine Learning
Company websiteadonis.io (Adonis, opens in new tab)
Base salary $250K to $275K
Employer-published annual base salary, USD. Advertised base range in New York City, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York City, NY
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
About the Role
Adonis is adding a new AI/ML Lead to be our strategic technical leader who is driving the development, implementation, and governance of artificial intelligence and machine learning initiatives across the organization. This role combines deep healthcare domain expertise with advanced AI/ML knowledge to ensure Adonis delivers cutting-edge, compliant, and valuable AI solutions to healthcare customers. This position sits at the intersection of data science, engineering, product development, and healthcare industry expertise.
At Adonis, AI is not just a tool—it is a core enabler of our mission to fix the financial health of the healthcare system. We will embrace it with curiosity, implement it with discipline, and deliver it with trust, ensuring both our teams and our customers benefit from real, measurable value.
In this role, you must establish and drive this vision across the organization, positioning AI as a strategic force that powers Adonis's revenue cycle management solutions. You’ll also define how AI transforms our ability to help healthcare providers recover more revenue, reduce manual effort, and build intelligent, scalable foundations for their revenue cycle operations.
What You’ll Do:
AI Strategy & Vision: Develop and execute the overarching AI/ML strategy for Adonis, aligning with business objectives and healthcare industry needs
Incremental Value Delivery: Balance long-term strategic AI initiatives with quick wins that deliver immediate business impact for revenue cycle management
DS/ML Team Leadership: Lead and mentor the Data Science and Machine Learning teams, fostering innovation and excellence in AI development
AI Governance & Compliance: Establish and maintain a robust AI governance framework ensuring all solutions meet healthcare regulatory requirements (HIPAA, FDA, etc.)
Solution Architecture: Design scalable, production-ready AI/ML architectures that drive value for healthcare customers
External Value Demonstration: Quantify and communicate the tangible benefits of Adonis AI solutions to customers, partners, and stakeholders
MLOps Excellence: Drive best practices for deploying, monitoring, and maintaining AI models in production environments
Cross-functional Collaboration: Partner closely with Product, Engineering, Sales, and Customer Success teams to ensure AI initiatives deliver maximum value
We’d Love for You to Have:
Eight plus years experience with AI/ML: Deep understanding of machine learning techniques, especially those applicable to healthcare
Healthcare Expertise: Substantial experience in healthcare technology, clinical workflows, or related fields
Production AI Experience: Proven track record of taking AI models / products from concept to production in complex environments
Technical Leadership: Experience leading data science and engineering teams
Business Acumen: Ability to translate technical capabilities into tangible business value
Collaborative Mindset: Ability to work effectively with diverse teams, holding strong opinions loosely and valuing input from others
Communication Skills: Exceptional ability to communicate complex AI concepts to diverse audiences
Regulatory Knowledge: Familiarity with healthcare regulations affecting AI deployment (HIPAA, FDA, etc.)
Ethics & Governance: Strong understanding of ethical AI principles and governance frameworks
The base salary range for this position is $250,000 to $275,000. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we offer an annual bonus program, company equity, and a competitive benefits package.
About Adonis
Adonis is the leading AI orchestration platform for healthcare revenue cycle management (RCM), purpose-built for healthcare organizations seeking to transform their revenue operations. Traditional RCM processes often struggle with inefficiencies, costing providers up to 15% or more of their potential revenue. Through advanced automation, data science, and AI Agents, Adonis helps revenue teams detect vulnerabilities, optimize workflows, and deploy precise solutions that drive reliable and scalable financial outcomes.
Adonis is headquartered in New York City and has raised over $95M in funding, including a recent $40M Series C round led by Quadrille Capital with continued support from existing investors such as General Catalyst and Bling Capital. This funding supports our mission to restore sanity to RCM and equip provider groups and health systems with AI-driven revenue cycle operations at scale.
Compensation Philosophy
Actual base pay will depend on job-related knowledge, skills, and experience. Adonis determines compensation based on each candidate’s experience and qualifications relative to peers, and most new hires fall near the middle of the range. In addition to base salary, you’ll receive meaningful equity and great benefits.
Perks at Adonis
Competitive equity packages
Employer-paid medical insurance
Employer-paid dental insurance
Employer-paid vision insurance
Employer-funded HSA
Parental leave
Commuter benefits
Office lunches every day
Office snacks
Generous PTO
Located in 3 World Trade Center with easy access to all trains and the PATH, and amazing views of the city
Adonis is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
At Adonis, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals.
Source: Adonis on Ashby · View original posting (opens in new tab)
This listingDirector of Data Science / Machine Learning$250K to $275K
Senior Data Scientist$225K to $250K
Engineering Manager, Data Platform$225K to $260K
Senior Software Engineer - Data Platform$190K to $210K
Senior Infrastructure Engineer$190K to $210K
Senior Full Stack Engineer$170K to $210K
Data Platform Engineer$165K to $190K
Chart as a table
| Role | Published base |
|---|---|
| Director of Data Science / Machine Learning (this listing) | $250K - $275K |
| Senior Data Scientist | $225K - $250K |
| Engineering Manager, Data Platform | $225K - $260K |
| Senior Software Engineer - Data Platform | $190K - $210K |
| Senior Infrastructure Engineer | $190K - $210K |
| Senior Full Stack Engineer | $170K - $210K |
| Data Platform Engineer | $165K - $190K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-05-04
Where this pay comes from
Location as the employer wrote it: New York City
The base salary range for this position is $250,000 to $275,000. Base pay offered may vary depending on job-related knowled
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
