Senior Data Scientist, Applied AI

Definitive Healthcare Corp.; Woodbridge Township (NJ); On-site; USD 136,000 - 206,000; Full time

Benefits offered by this job

Healthcare benefits

Flexible paid time off

401(k) plan with employer contribution

Job summary

Definitive Healthcare Corp. is seeking a Senior Data Scientist to independently own the build and evaluation of AI solutions for an assigned use case, operating within the team's evaluation framework. The role applies professional judgement on technical approach, diagnosing issues and escalating decisions that affect strategy.

You will collaborate with engineering, product, and domain partners, maintain test assets, support production reliability, and communicate findings with clear tradeoffs.

Qualifications

• Bachelor's degree required; master's preferred.
• 5+ years of relevant experience in data science, machine learning, applied AI, software engineering, or related field.
• Hands-on experience building and evaluating LLM applications.

Responsibilities

• Own assigned workflows: Independently build, test, and improve LLM, RAG, and tool-using agent workflows for an assigned use case, using maintainable, tested Python code.
• Apply the evaluation framework: Select and apply evaluation criteria, baselines, and test datasets within the team's established evaluation approach; does not set that approach for the team.
• Select technical approaches: Compare models, embeddings, and retrieval methods for the assigned use case using evidence on quality, reliability, latency, and cost; document recommendations and tradeoffs for that project.
• Diagnose and resolve issues: Investigate retrieval misses, incorrect answers, and workflow failures within the assigned project; independently determine root cause and implement and validate the fix.
• Maintain and extend test assets: Build and update test cases, benchmark datasets, and regression checks for the assigned use case.
• Support production reliability: Monitor and investigate performance changes for workflows they own, and recommend and implement improvements within their project.
• Collaborate on delivery: Communicate findings and technical tradeoffs on the assigned project to immediate engineering, product, and domain partners.

Skills

Python programming

LLMs

Evaluation frameworks

Agent frameworks

Communication

Problem solving

Education

Bachelor's degree in quantitative/technical field

Master's degree preferred

Tools

Databricks

Delta Lake

Unity Catalog

Lakebase

Lakeflow Jobs

MLflow

Job description

About Definitive Healthcare

At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact.

About Definitive Healthcare

At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact.

Headquartered just outside of Boston, Massachusetts, Definitive Healthcare operates across North America, Europe, and India, supporting a growing global client base of more than 2,400 customers since our founding in 2011.

We’re also 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.

We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection, education, and inclusion.

About the position

This role independently owns the build and evaluation of AI solutions for an assigned use case, operating within the team's established evaluation framework and practices. The Senior Data Scientist exercises professional judgment on technical approach, issue diagnosis, and implementation within their assigned project, escalating decisions that would affect the team's overall evaluation strategy, span multiple projects, or carry material risk. Its impact is measured by the quality and reliability of the systems and evidence it delivers for its assigned use case.

What you’ll do

• Own assigned workflows: Independently build, test, and improve LLM, RAG, and tool-using agent workflows for an assigned use case, using maintainable, tested Python code.
• Apply the evaluation framework: Select and apply evaluation criteria, baselines, and test datasets within the team's established evaluation approach; does not set that approach for the team.
• Select technical approaches: Compare models, embeddings, and retrieval methods for the assigned use case using evidence on quality, reliability, latency, and cost; document recommendations and tradeoffs for that project.
• Diagnose and resolve issues: Investigate retrieval misses, incorrect answers, and workflow failures within the assigned project; independently determine root cause and implement and validate the fix.
• Maintain and extend test assets: Build and update test cases, benchmark datasets, and regression checks for the assigned use case.
• Support production reliability: Monitor and investigate performance changes for workflows they own, and recommend and implement improvements within their project.
• Collaborate on delivery: Communicate findings and technical tradeoffs on the assigned project to immediate engineering, product, and domain partners.

What you’ll need

Education And Experience

• Bachelor's degree required; master's degree in a quantitative or technical field preferred.
• 5+ years of relevant experience in data science, machine learning, applied AI, software engineering, or a related field.
• Hands-on experience building and evaluating LLM applications.

Technical And Professional Skills

• Strong Python programming, software engineering and testing, and analytical problem-solving skills.
• Strong knowledge of LLMs, embeddings, semantic search, retrieval systems, and RAG architectures.
• Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, Lakebase, Lakeflow Jobs, and MLflow, for building and deploying scalable, production-grade data and AI solutions.
• Ability to design representative evaluations for an assigned use case, analyze errors, and use results to improve a system.
• Ability to weigh quality, reliability, latency, and cost when recommending an approach for their own project.
• Clear communication and effective collaboration with technical and nontechnical partners.
• Experience with agent frameworks and AI evaluation platforms.
• Experience with healthcare data is preferred, but not required.

Autonomy, decisions, and scope

• This is an individual contributor role with no people-management responsibilities.
• Operates independently on an assigned project within the team's established evaluation framework and practices.
• Exercises professional judgment on technical approach, root-cause diagnosis, and issue resolution within their assigned project.
• Escalates decisions involving changes to the team's evaluation approach, significant business risk, sensitive data, material cost commitments, or production release approval to the Manager or appropriate owner.

Compensation and Benefits

The salary range for this position is $136,000 – $206,000 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, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• Definitive Cares, our community service group, gives all of us a chance to give back
• Competitive benefits package including great healthcare benefits and a 401(k) match

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

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.

Privacy

Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information.

Please note

All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators using an @definitivehc.com email address. We do not advertise open roles on Facebook and will never request money transfers or ask candidates to purchase equipment with a promise of reimbursement. If you receive any suspicious communication, please contact [e-mail] to verify your status in the application process.