Principal Data Scientist Jobs
Principal Data Scientist jobs are open across technology, finance, healthcare, and retail, from senior to staff and principal levels, with specializations in machine learning, NLP, and causal inference. Scan the live roles below and apply to whichever ones fit.
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What you will be doing:
This position will lead independent and collaborative research programs in biostatistics and health outcomes research, in partnership with public health government agencies, hospitals and health systems, and academic institutions. Apply advanced statistical and epidemiologic methods to real-world evidence (RWE) datasets, including electronic health record, administrative billing, and post-adjudicated claims data, to design observational studies, answer clinically and operationally relevant questions, and produce high-impact peer-reviewed publications. Lead the development of statistical analysis plans and research protocols, and translate study findings into new products, services, and features that support quality improvement, population health management, and policy.
A doctoral degree and considerable research experience are required. A clinical or public health background is desired, along with an understanding of how clinicians wish to deploy analytics in support of quality improvement and population health management applications.
This level is recognized as expert in their field, knowledgeable of emerging trends and industry practices. Works without supervision with complete latitude for independent judgment. May mentor less experienced peers and display leadership as needed.
- Biostatistics and Epidemiology
- Real-World Evidence and Observational Research
- Partner engagement: public health agencies, health systems, and academia
Key Responsibilities
Research Leadership and Collaboration – 25%
- Lead research projects in collaboration with public health government agencies, hospitals and health systems, and academic institutions
- Translate research findings into new products, services, and features with product and engineering teams, and provide scientific leadership for large scale implementation
- Design, conduct, and evaluate observational studies (e.g., cohort and cross-sectional) using RWE datasets, including administrative and EHR data
- Work with internal and external SMEs to identify research questions that improve quality, safety, and efficiency across the healthcare system
Study Design and Statistical Methodology – 25%
- Serve as a subject matter expert in biostatistics and epidemiology across business domains (Cost, Clinical, MDM, etc.)
- Develop statistical analysis plans and research protocols for studies and strategic initiatives
- Apply advanced statistical methods, including GLMs, GLMMs, GAMs, ZIPs, hypothesis testing, propensity score matching, and IPW, and causal inference methods (e.g., mediation analysis, structural equation modeling) where appropriate, to produce valid and reproducible results
- Generate and test hypotheses and interpret study results for clinical, operational, and policy audiences
Stakeholder Engagement and Research Partnerships – 15%
- Facilitate & lead meetings with public health agencies, health system and hospital partners, academic collaborators, and internal teams to define research questions and requirements
- Analyze partner needs, procedures and problems, design research approaches and make recommendations
- Use clinical, public health, or technical background to interpret partner needs and translate them into clinically meaningful research and products
- Translate research findings into features and requirements that feed product backlogs
Publishing and Presentations – 20%
- Generate peer reviewed publications in high-impact journals as first or lead author, highlighting Premier’s research and innovative methodologies
- Create patent submissions to protect Premier’s intellectual property
- Publicly present innovative work at conferences and symposiums to demonstrate Premier’s thought
Knowledge Sharing - Operations – 10%
- Provide statistical and research methodology advice, demonstrations and presentations to colleagues, client, and management
- Provide mentoring and training
Research Operations – 10%
- On your own or indirectly supervising research teams to:
- Develop project estimates, research timelines, and work plans
- Identify develop, review, and evolve best practices, standards, and processes for rigorous, reproducible research
- Participate in the review of team member analyses and deliverables
Required Qualifications
Work Experience:
Years of Applicable Experience - 10 or more yearsEducation:
Doctorate (Required)
Preferred Qualifications
Skills:
- Strong business/healthcare analytics, statistics, simulation and advanced mathematics, data search, and matching experience
- Leading collaborative research with government, health system, and academic partners
- Excellent writing and speaking skills
- Technical: R (Tidyverse), Python, and SQL; data modeling
Experience:
- Considerable post-doctoral research experience leading observational studies in healthcare, public health, or epidemiology
- Biostatistics, epidemiology, and health outcomes research; machine learning experience a plus
- Strong knowledge of real-world evidence (RWE) datasets, including administrative and EHR data
- Strong track record of applied statistics, including GLMs, GLMMs, GAMs, ZIPs, hypothesis testing, propensity score matching, and inverse probability weighting (IPW)
- Development of statistical analysis plans and leading research projects
- Proven track record publishing in high-impact peer-reviewed journals as first or lead author, with observational study designs (e.g., cohort and cross-sectional), and experience submitting patent applications
- Experience with customer engagement, collaboration, and conflict management
- Experience teaching in a related domain in the university setting
- Causal inference (e.g., mediation analysis, structural equation modeling)
- Experience with Posit and Databricks
Education:
- Doctorate (required); terminal degree in statistics, biostatistics, or epidemiology preferred
Additional Job Requirements:
Remain in a stationary position for prolonged periods of time
Be adaptive and change priorities quickly; meet deadlines
Attention to detail
Operate computer programs and software
Ability to communicate effectively with audiences in person and in electronic formats.
Day-to-day contact with others (co-workers and/or the public)
Making independent decisions
Ability to work in a collaborative business environment in close quarters with peers and varying interruptions
Working Conditions: Remote
Travel Requirements: Travel 1-20% within the US
Physical Demands: Sedentary: Exerting up to 10 pounds of force occasionally, and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves remaining stationary most of the time. Jobs are sedentary if movement is required only occasionally, and all other sedentary criteria are met.
Premier’s compensation philosophy is to ensure that compensation is reasonable, equitable, and competitive in order to attract and retain talented and highly skilled employees. Premier’s internal salary range for this role is $141,000 - $234,000. Final salary is dependent upon several market factors including, but not limited to, departmental budgets, internal equity, education, unique skills/experience, and geographic location. Premier utilizes a wide-range salary structure to allow base salary flexibility within our ranges.
Qualified full-time and part-time employees also receive access to the following benefits:
Health, dental, vision, life and disability insurance
401k retirement program
Paid time off
Participation in Premier’s employee incentive plans
Tuition reimbursement and professional development opportunities
Premier at a glance:
Granted World's Most Ethical Companies, Ethisphere, 2008-2026
Named U.S. News & World Report, Best Companies to Work For (2023, 2024, 2025)
Accredited by Forbes: America’s Best Management Consulting Firms 2024-2025
Given Modern Healthcare Best in Business Awards: Consultants- Healthcare Management
Awarded Cigna Workforce Designation Gold Level Recipient (2016,2017,2019,2020,2021,2022,2023,2025)
For a listing of all of our awards, please visit the Awards and Recognition section on our company website.
Employees receive:
Perks and discounts
Access to on-site and online exercise classes
Premier is looking for smart, agile individuals like you to help us transform the healthcare industry. Here you will find critical thinkers who have the freedom to make an impact. Colleagues who share your thirst to learn more and do things better. Teammates committed to improving the health of a nation. See why incredible challenges require incredible people.
Premier is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to unlawful discrimination because of their age, race, color, religion, national origin, ancestry, citizenship status, sex, sexual orientation, gender identity, gender expression, marital status, familial status, pregnancy status, genetic information, status as a victim of domestic violence, covered military or protected veteran status (e.g., status as a Vietnam Era veteran, disabled veteran, special disabled veteran, Armed Forces Serviced Medal veteran, recently separated veteran, or other protected veteran) disability, or any other applicable federal, state or local protected class, trait or status or that of persons with whom an applicant associates. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. In addition, as a federal contractor, Premier complies with government regulations, including affirmative action responsibilities, where they apply. EEO / AA / Disabled / Protected Veteran Employer.
Premier also provides reasonable accommodations to qualified individuals with a disability or those who have a sincerely held religious belief. If you need assistance in the application process, please reply to diversity_and_accommodations@premierinc.com or contact Premier Recruiting at 704.357.0022.
Personal Information submitted will be processed in accordance with Premier's Employee and Job Applicant Privacy Notice, which includes additional information about your privacy rights.
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Find Principal Data Scientist JobsPrincipal Data Scientist Job Market
Who's Hiring
- Capital One15

- Walmart11

- Information Technology Senior Management Forum9
- Microsoft6

- Intuit5

Top Industries Hiring
- Technology & Software11
- Insurance5
- Banking & Financial Services5
- Retail4
- Media & Entertainment3
What Employers Look For
The qualifications that appear most often in principal data scientist jobs.
- Advanced degree in statistics, computer science, mathematics, or a related quantitative field
- 7 or more years of applied machine learning or statistical modeling experience
- Production-level proficiency in Python and familiarity with Scala or Spark for large-scale data processing
- Demonstrated experience deploying and monitoring ML models in cloud environments such as AWS, GCP, or Azure
- Ability to define technical strategy and mentor senior and mid-level data scientists on the team
- Strong communication skills to translate model outputs and trade-offs for non-technical executives and product stakeholders
Tips for Your Principal Data Scientist Job Search
Quantify impact at the systems level
Principal data scientist resumes that stand out show ownership of end-to-end ML pipelines, not just model accuracy. Replace vague contributions with business outcomes: revenue influenced, latency reduced, or model adoption rate across product teams.
Tailor your portfolio to domain depth
Hiring panels at this level expect depth in one or two domains, not breadth. If you're targeting healthtech, lead with clinical prediction work. If fintech, lead with risk or fraud models. Generic portfolios read as mid-level, not principal.
Apply early to roles that fit
Migrate Mate lists principal data scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by team structure in job descriptions
Principal roles vary enormously between IC-track and people-manager expectations. Read the responsibilities section carefully for phrases like 'lead a team of' versus 'technical lead and mentor.' Applying to the wrong structure wastes everyone's time.
Prepare a system design narrative for interviews
Most principal data scientist interviews include a technical design round. Practice walking through how you'd architect a recommendation or forecasting system from data ingestion to production, including failure modes and monitoring. Vague answers at this stage disqualify strong candidates.
Negotiate scope before accepting an offer
At the principal level, compensation is closely tied to the scope of your charter. Before accepting, clarify headcount, infrastructure budget, and product influence in writing. What you negotiate upfront shapes your ability to do the work the title implies.
Principal Data Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most principal data scientists?
The companies hiring the most principal data scientists right now include Capital One, Walmart, and Information Technology Senior Management Forum, with the largest share of openings in California, Virginia, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in technology platforms, financial services, and large healthcare systems.
How many principal data scientist jobs are remote?
About 68% of principal data scientist openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility at this seniority level. Roles focused on modeling and research tend to be the most remote-friendly, while positions requiring close collaboration with product and engineering teams more often require on-site or hybrid presence.
How do you become a principal data scientist?
Most principal data scientists move up from senior roles by demonstrating ownership of large-scale systems, cross-functional influence, and technical mentorship. Build a portfolio of projects you led end-to-end, develop a specialization that maps to a high-value business problem, and seek out opportunities to define team direction rather than execute on it. Publishing research or speaking at conferences strengthens your case considerably.
Can you get hired as a principal data scientist without prior principal-level experience?
Yes, but you need to close the gap on paper before the interview. Document projects where you effectively acted at the principal level, even if your title was senior. Focus on scope, autonomy, and cross-team influence rather than individual contributions. Companies promoting from within often hire externally at the principal level when candidates can demonstrate they've already been doing the work.
What does the principal data scientist interview process look like?
The process typically runs four to six rounds and includes a recruiter screen, a technical phone interview covering modeling and statistics, a machine learning system design round, a take-home or live coding exercise, and a final panel with cross-functional stakeholders. Some companies add a research presentation where you walk through past work in depth. Expect close scrutiny of how you communicate trade-offs to non-technical audiences.
Where can I find and apply to principal data scientist jobs?
You can find and apply to principal data scientist jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings, find roles that match your background and target domain, and apply directly to each one that fits.
See All 148+ Principal Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Principal Data Scientist Jobs