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Day 17
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From 51 similar postings that came down. Coming down is not always a hire.
Data Scientist, Applied AI
Reads like an AI Engineer role: building products on existing AI models.
Hybrid, MA (Framingham); Remote
Live, first seen by us 17 days ago- Pay
$111,000–167,000/year — pay source
Compensation and Benefits: The salary range for this position is $111,000– $167,000 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience, skills, and qualifications. Depending on the position, employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package, including medical, dental, and vision coverage, flexible paid time off, and participation in the company’s 401(k) plan with employer contribution.
Read the full posting- Work setting
Working pattern needs review — work setting source
If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter. If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request. Definitive Hiring Philosophy
Listed location: Hybrid, MA (Framingham); Remote
Read the full posting- Employment
- Not stated
Before you apply
- Employer’s visa record
- 14 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingBuild and test LLM, RAG, and tool-using agent workflows
Compare LLMs, embedding models, and retrieval methods on quality, latency, and cost
Create and update test cases, benchmark datasets, and regression checks
Develop and tune RAG pipelines based on evaluation results
Review failed answers and retrieval misses, then implement and measure fixes
From the employer’s posting
Build and test LLM, RAG, and tool-using agent workflows for assigned use cases.
Compare LLMs, embedding models, and retrieval methods against quality, reliability, latency, and cost
Create and update representative test cases, benchmark datasets, and regression checks
Develop and tune RAG pipelines, including embeddings, retrieval, reranking, and grounding, based on evaluation results.
Review incorrect answers, retrieval misses, and workflow failures; implement and measure improvements.
- People management
Individual contributor stated — people management source
Autonomy, decisions, and scope This is an individual contributor role with no people-management responsibilities. Works independently on defined analyses and implementation tasks, with guidance on project priorities and broader technical direction.
Read the full posting
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in a quantitative or technical field.
- Strong Python, data analysis, and problem-solving skills.
- 3+ years of experience in data science, machine learning, applied AI, or a related field.
- Understanding of embeddings, semantic search, retrieval, RAG and evaluation metrics.
- Hands-on experience developing applications with LLMs and evaluating their outputs.
- Experience with an agent framework such as PydanticAI, LangGraph, or a similar tool.
Preferred experience
- Experience with Databricks, evaluation platforms, production deployment, fine-tuning, distributed processing, or healthcare data is beneficial but not required.
Qualification wording
Bachelor’s degree in a quantitative or technical field.
Strong Python, data analysis, and problem-solving skills.
3+ years of experience in data science, machine learning, applied AI, or a related field.
Understanding of embeddings, semantic search, retrieval, RAG and evaluation metrics.
Hands-on experience developing applications with LLMs and evaluating their outputs.
Experience with an agent framework such as PydanticAI, LangGraph, or a similar tool.
Experience with Databricks, evaluation platforms, production deployment, fine-tuning, distributed processing, or healthcare data is beneficial but not required.
Education & alternatives
Education and experience - Bachelor’s degree in a quantitative or technical field. - 3+ years of experience in data science, machine learning, applied AI, or a related field.
Benefits in the posting
Full benefits wording- The salary range for this position is $111,000– $167,000 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience, skills, and qualifications.
- Depending on the position, employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package, including medical, dental, and vision coverage, flexible paid time off, and participation in the company’s 401(k) plan with employer contribution.
- Why we love Definitive Healthcare, and why you will too!
- At Definitive Healthcare, our values shape how we work, how we treat one another, and how we deliver for our customers.
- We invest in our people. We offer a competitive benefits package, including comprehensive healthcare benefits and a 401(k) match.
- What our Employees are saying about us on Glassdoor:
- -Business Development Manager
- -Research Analyst
- -Profile Analyst
- If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter.
- Definitive Hiring Philosophy
From the employer’s posting.
About Definitive Healthcare, US
At Definitive Healthcare, our mission is simple: to connect with the real people who make healthcare happen.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 27, 202617 days ago
- Recorded sightings
- 18
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Definitive Healthcare, US is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Databricks
Where the posting names them
Technical and professional skills - Strong Python, data analysis, and problem-solving skills. - Understanding of embeddings, semantic search, retrieval, RAG and evaluation metrics.
- Clear communication with technical and nontechnical colleagues. - Experience with Databricks, evaluation platforms, production deployment, fine-tuning, distributed processing, or healthcare data is beneficial but not required. Autonomy, decisions, and scope
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About Definitive Healthcare, US
- People
- About 670 in 2023, up 22% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DH.
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
About Definitive Healthcare:
At Definitive Healthcare, our mission is simple: to connect with the real people who make healthcare happen. With real data on real people, our customers get the Definitive picture of the Healthcare market to move their businesses and organizations forward.
We’re committed to delivering the industry’s most reliable, actionable, and differentiated insights and empowering the innovators and organizations transforming healthcare. Because when our customers succeed, healthcare improves—for everyone.
Since our founding in 2011, we’ve grown into a global company headquartered just outside Boston, Massachusetts, supporting more than 2,100 customers around the world. Along the way, we’ve built a culture centered on purposeful work, collaboration, curiosity, and meaningful impact.
We’re passionate about the work we do and the people we do it with. Through programs like Definitive Cares and our employee-led affinity groups, we create opportunities for our teams to connect and give back to the communities where we live and work.
About the position:
This role supports the team's work on practical generative AI applications. The Data Scientist implements and tests LLM, RAG, and agent-based workflows for assigned use cases under the direction of senior team members, producing evidence that informs team decisions about which approaches to use.
What you’ll do :
- Develop AI workflows: Build and test LLM, RAG, and tool-using agent workflows for assigned use cases.
- Evaluate approaches: Compare LLMs, embedding models, and retrieval methods against quality, reliability, latency, and cost, using evaluation criteria and methods set by senior team members.
- Maintain evaluation assets: Create and update representative test cases, benchmark datasets, and regression checks; report results and limitations.
- Improve retrieval quality: Develop and tune RAG pipelines, including embeddings, retrieval, reranking, and grounding, based on evaluation results.
- Investigate failures: Review incorrect answers, retrieval misses, and workflow failures; implement and measure improvements.
- Support production workflows: Use experimentation, tracing, and observability tools to help monitor systems and investigate performance changes.
- Collaborate on delivery: Work with engineering, product, and domain partners to clarify requirements, communicate findings, and deliver practical AI solutions.
What you'll need:
Education and experience
- Bachelor’s degree in a quantitative or technical field.
- 3+ years of experience in data science, machine learning, applied AI, or a related field.
- Hands-on experience developing applications with LLMs and evaluating their outputs.
Technical and professional skills
- Strong Python, data analysis, and problem-solving skills.
- Understanding of embeddings, semantic search, retrieval, RAG and evaluation metrics.
- Experience with an agent framework such as PydanticAI, LangGraph, or a similar tool.
- Ability to design useful test cases, interpret evaluation results, and identify limitations.
- Familiarity with cloud data or ML platforms, Git, testing, and collaborative software development.
- Clear communication with technical and nontechnical colleagues.
- Experience with Databricks, evaluation platforms, production deployment, fine-tuning, distributed processing, or healthcare data is beneficial but not required.
Autonomy, decisions, and scope
- This is an individual contributor role with no people-management responsibilities.
- Works independently on defined analyses and implementation tasks, with guidance on project priorities and broader technical direction.
- Makes day-to-day decisions about experiments, test cases, and implementation details within agreed project goals.
- Recommends model and retrieval improvements based on results; escalates major architecture changes, sensitive-data concerns, significant cost implications, and production release decisions to senior team members or the appropriate owners.
- Influences assigned projects through implementation and evidence, rather than owning the evaluation strategy or technical direction across multiple projects.
Compensation and Benefits:
The salary range for this position is $111,000– $167,000 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience, skills, and qualifications.
Depending on the position, employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package, including medical, dental, and vision coverage, flexible paid time off, and participation in the company’s 401(k) plan with employer contribution.
Why we love Definitive Healthcare, and why you will too!
At Definitive Healthcare, our values shape how we work, how we treat one another, and how we deliver for our customers.
- We’re obsessed with data. Great companies are built on data customers can rely on. As responsible stewards, we validate rigorously, question assumptions, and use data to make better decisions.
- We’re accountable. We take ownership of results, not just tasks. When something needs doing, we step up. When things break, we fix them. We follow things through until the job is done.
- We care deeply. About our teammates, our customers, and the impact of what we build. We assume good intent, communicate openly, and support each other through challenges. We always bring maximum energy to everything we do.
We're also committed to creating an environment where our people feel supported in their work, their wellbeing, and their financial future.
- We invest in our people. We offer a competitive benefits package, including comprehensive healthcare benefits and a 401(k) match.
- We make room for connection and impact. Definitive Cares is our 100% employee-driven program that creates opportunities to connect with colleagues through affinity groups and make a positive impact on our communities.
- We’re a great place to work. In 2024 and 2025, we earned multiple workplace honors, including Built In’s 100 Best Places to Work in Boston (both years), a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India.
What our Employees are saying about us on Glassdoor:
“Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.”
-Business Development Manager
“Great team. Amazing growth. Employees are treated very well.”
-Research Analyst
“I have waited 36 years to work at a dream job for a dream company, and I am so happy to have finally got there.”
-Profile Analyst
If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter.
If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request.
Definitive Hiring Philosophy
Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status. If you’re interested in working in a fast growing, exciting working environment – we encourage you to apply!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation and Benefits: The salary range for this position is $111,000– $167,000 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience, skills, and qualifications. Depending on the position, employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package, including medical, dental, and vision coverage, flexible paid time off, and participation in the company’s 401(k) plan with employer contribution.
- Location & working pattern
Hybrid, MA (Framingham); Remote
If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter. If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request. Definitive Hiring Philosophy
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.