1

Senior Principal Data Scientist Jobs (NOW HIRING)

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

Overview The Principal Data Scientist is a senior leader and technical authority responsible for advancing Central Health System's data science capabilities in support of population health, care ...

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

Overview The Principal Data Scientist is a senior leader and technical authority responsible for advancing Central Health System's data science capabilities in support of population health, care ...

Overview The Principal Data Scientist is a senior leader and technical authority responsible for advancing Central Health System's data science capabilities in support of population health, care ...

Overview The Principal Data Scientist is a senior leader and technical authority responsible for advancing Central Health System's data science capabilities in support of population health, care ...

next page

Showing results 1-20

Senior Principal Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do senior principal data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior principal data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a senior principal data scientist?

Senior Principal Data Scientists are highly experienced professionals who lead complex data science projects and teams within an organization. They are responsible for developing advanced analytical models, setting strategic direction for data initiatives, and mentoring other data scientists. Often, they collaborate with stakeholders to solve high-impact business problems using data-driven approaches. Senior Principal Data Scientists typically have deep expertise in statistics, machine learning, and domain knowledge relevant to their industry.

What are some common challenges faced by senior principal data scientists when leading cross-functional projects?

Senior Principal Data Scientists often encounter challenges such as balancing strategic vision with hands-on technical guidance, aligning diverse stakeholder expectations, and ensuring effective communication between data teams and business units. They must translate complex analytical insights into actionable recommendations for non-technical audiences while fostering collaboration among data engineers, analysts, and product managers. Navigating these dynamics requires strong leadership, adaptability, and a keen understanding of both technical and business priorities.

What are the key skills and qualifications needed to thrive as a senior principal data scientist, and why are they important?

To thrive as a Senior Principal Data Scientist, you need advanced expertise in statistical analysis, machine learning, and data modeling, typically supported by a Ph.D. or master's degree in a quantitative field. Proficiency with programming languages like Python or R, big data platforms such as Spark or Hadoop, and relevant certifications in data science or cloud technologies are often expected. Exceptional leadership, communication, and strategic thinking skills set top performers apart, enabling them to guide teams and collaborate with stakeholders. These competencies are critical for driving impactful data initiatives, ensuring technical excellence, and aligning analytics with organizational goals.

What is the difference between Senior Principal Data Scientist vs Lead Data Scientist?

AspectSenior Principal Data ScientistLead Data Scientist
CredentialsAdvanced degrees (Master's/PhD), extensive experienceSimilar educational background, often with leadership experience
Work EnvironmentStrategic, research-focused, cross-functional teamsProject leadership, team coordination, stakeholder communication
Industry UsageResearch labs, tech companies, consulting firmsProduct teams, analytics departments, startups

The Senior Principal Data Scientist typically focuses on high-level research and strategic initiatives, leveraging deep expertise. In contrast, the Lead Data Scientist often manages projects and teams directly, emphasizing execution and stakeholder engagement. Both roles require strong technical skills and industry experience, but their primary focus and responsibilities differ.

What cities are hiring for Senior Principal Data Scientist jobs?

Cities with the most Senior Principal Data Scientist job openings:

What are the most commonly searched types of Principal Data Scientist jobs?

The most popular types of Principal Data Scientist jobs are:

What states have the most Senior Principal Data Scientist jobs?

States with the most job openings for Senior Principal Data Scientist jobs include:

Infographic showing various Senior Principal Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Principal Data Scientist - Search & Recommendations (Irvine)

Ingram Micro Inc.

Irvine, CA • On-site

$158K - $270K/yr

Full-time

Re-posted 4 days ago


Ingram Micro rating

6.9

Company rating: 6.9 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

266th of 429 rated retail wholesalers


Job description

A leading technology company is seeking a Sr Principal Data Scientist to develop and enhance global search and recommendation systems. This role demands extensive experience in data science, specifically in search algorithms and recommendations. You'll shape the technical strategy while mentoring a team and communicating complexities to stakeholders. The position offers a salary range of approximately USD $158,900.00 - $270,100.00 annually, along with various employee benefits.
#J-18808-Ljbffr


What Ingram Micro employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom