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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Overview

Open roles148+
Top stateCalifornia
Top employerCapital One
Top citySan Diego, CA
Work type44% Hybrid
Top industryTechnology

Showing 5 of 148+ Principal Data Scientist jobs

Principal || Data Scientist
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New 7h ago
Principal || Data Scientist
Premier Inc.
Remote
Business Development
Customer Success
Partnerships & Business Development
$141k - $234k/yr
On-Site
Doctoral degree in statistics
1,001-5,000

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Principal Data Scientist, Search
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New 14h ago
Principal Data Scientist, Search
The Home Depot
Atlanta, Georgia
AI (Artificial Intelligence)
Data Science
Software Engineering
$150k - $280k/yr
Doctoral degree in statistics
10,000+

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(USA) Principal, Data Scientist
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New 23h ago
(USA) Principal, Data Scientist
Sam's Club
San Bruno, California
Academic & Educational Administration
Corporate Training & Learning Development
Executive Leadership & C-Suite
Human Resources
$143k - $286k/yr
High school
201-500

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Principal / Sr. Principal Data Scientist – ML and Predictive Analytics
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Added 1d ago
Principal / Sr. Principal Data Scientist – ML and Predictive Analytics
Northrop Grumman
San Diego, California
Consulting & Professional Services
Software Engineering
Solutions Engineering & Architecture
Technical Program Management
$125k - $235k/yr
Hybrid
Master's degree
10,000+

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Sr. Principal Data Scientist – Machine Learning and Predictive Analytics
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Added 1d ago
Sr. Principal Data Scientist – Machine Learning and Predictive Analytics
Northrop Grumman
San Diego, California
Consulting & Professional Services
Software Engineering
Solutions Engineering & Architecture
Technical Program Management
$156k - $235k/yr
Hybrid
Master's degree
10,000+

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See All 148+ Principal Data Scientist Jobs

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Principal 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