Senior Statistician - AI Product Assurance

Posted 3 Days Ago
Be an Early Applicant
Pittsburgh, PA, USA
Hybrid
113K-183K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Cat Digital delivers digital and technology solutions that power Caterpillar's world-famous yellow iron.
The Role
Leads statistical validation for safety-related AI products across design, deployment, and operation. Defines safety metrics, acceptance criteria, and confidence levels; designs experiments and analyzes simulations, field data, rare events, uncertainty, distribution shifts, and failure modes. Applies Bayesian inference, reliability, survival, causal, and uncertainty analysis methods. Collaborates with engineering teams on safety cases, supports post-deployment monitoring and revalidation, and mentors technical staff.
Summary Generated by Built In
Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
The Senior Statistician - AI Product Assurance is responsible for providing rigorous statistical evidence to support the design, implementation and deployment of safety-related AI-enabled products. This role is part of a newly established AI Product Assurance team focused on demonstrating that complicated, complex, agentic based products meet defined safety objectives throughout their lifecycle.
Statistical validation is a core element of the assurance approach, alongside functional safety and Safety of the Intended Functionality (SOTIF). The Senior Statistician serves as a technical authority, translating safety intent into quantitative evidence that can be reviewed, audited, and defended.
What You Will Do:
  • Lead the development and execution of statistical validation plans that support AI product safety claims for release and in-service operation.
  • Define quantitative safety metrics, acceptance criteria, and confidence levels aligned with internal governance and external standards.
  • Design and analyze experiments, simulations, and operational data sets to assess risk, uncertainty, and residual hazards, including rare-event and edge-case behavior.
  • Apply advanced statistical techniques such as Bayesian inference, reliability analysis, survival analysis, uncertainty quantification, and causal methods to complex systems.
  • Evaluate system performance under uncertainty, distributional shift, and changing operational conditions.
  • Collaborate with the engineering teams to integrate statistical evidence into safety cases and assurance artifacts.
  • Review and interpret large-scale test, simulation, and field data to identify safety-relevant trends, failure modes, and emergent behaviors in agentic systems.
  • Clearly document assumptions, limitations, and conclusions to support internal decision-making and external review.
  • Provide technical guidance and mentoring to engineers and analysts on sound statistical practices for safety-critical applications.
  • Support post-deployment monitoring, re-validation, and change impact assessment as AI systems evolve.

What You Have:
  • Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
    • 5+ years' professional experience or equivalent education + industry experience
    • Significant experience applying statistical methods to complex, real-world systems where safety, risk, or reliability are critical.
    • Strong foundation in statistical inference, experimental design, and uncertainty analysis.
    • Experience with Bayesian methods, reliability engineering, rare-event estimation, and analysis of non-stationary data
  • Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
  • Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
  • Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
  • Master's Degree in Statistics, Applied Mathematics, Data Science or related quantitate discipline.

Consideration for Top Candidates:
  • Advanced Degree in Statistics, Applied Mathematics, Data Science or related quantitate discipline.
  • Experience working with AI, machine learning, autonomous, or agentic systems.
  • Familiarity with functional safety standards and/or SOTIF concepts.
  • Experience with Earth-Moving Machinery Products
  • Experience contributing statistical evidence to safety cases, assurance cases, or regulatory submissions.
  • Background in safety-critical industries such as autonomy, robotics, automotive, aerospace, industrial systems, or medical devices.
  • Demonstrated ability to communicate complex statistical concepts to non-statistical stakeholders.

Additional Information:
  • This position requires the candidate to work full-time at the Pittsburgh, PA office.
  • Alternative locations are Irving, TX.
  • Domestic relocation assistance is available for this position.
  • Visa sponsorship is available with this position.
  • This position will require up to 10% travel
  • #LI

Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa sponsorship is available for eligible applicants.
Posting Dates:
October 15, 2026 - October 25, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

Skills Required

  • Significant experience applying statistical methods to complex real-world systems where safety, risk, or reliability are critical
  • Strong foundation in statistical inference, experimental design, and uncertainty analysis
  • Experience with Bayesian methods, reliability engineering, rare-event estimation, and analysis of non-stationary data
  • Knowledge and use of programming languages and related tools
  • Knowledge of data management systems and query/database access tools
  • Bachelor's degree in Statistics, Applied Mathematics, Data Science, or a related quantitative discipline
  • Advanced degree in Statistics, Applied Mathematics, Data Science, or a related quantitative discipline
  • Experience with AI, machine learning, autonomous, or agentic systems
  • Familiarity with functional safety standards or SOTIF concepts
  • Experience contributing statistical evidence to safety cases, assurance cases, or regulatory submissions
  • Background in safety-critical industries such as autonomy, robotics, automotive, aerospace, industrial systems, or medical devices
  • Experience with earth-moving machinery products
  • Ability to communicate complex statistical concepts to non-statistical stakeholders

What the Team is Saying

Pradeep
Christina
Chad
Madison
Rakshan
MacGregor
Stan

Caterpillar Compensation & Benefits Highlights

  • Retirement Support — Retirement plans are highlighted as a standout element, with a strong company match and an additional company contribution noted for certain groups. Feedback suggests this is a notable strength of the package, with specifics dependent on plan and eligibility.
  • Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, HSAs/FSAs, wellness resources, and mental-health support through the EAP. Feedback suggests these offerings are competitive and broadly well regarded.
  • Parental & Family Support — Paid parental leave and adoption assistance are explicitly included, with adoption reimbursement and supportive leave policies emphasized. Feedback suggests family support is generous and a meaningful part of total rewards.

Caterpillar Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Irving, TX
100,000 Employees
Year Founded: 1925

What We Do

Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing digital capabilities to our world-famous yellow iron. With over 1.5M connected assets worldwide, our teams use data, technology, advanced analytics and AI capabilities to help solve our customers' toughest challenges.

Why Work With Us

At Cat Digital, we're accelerating Caterpillar's digital transformation to help customers solve their toughest challenges. Our teams use enterprise-wide data, emerging technologies, and customer insights to deliver solutions that drive real-world impact. Join us as we create innovative experiences that help customers succeed and power the world aro

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Caterpillar Teams

Team
Caterpillar
Team
Career Growth
About our Teams

Caterpillar Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQIrving, TX
India
Broomfield, CO
Chennai, IN
Chicago, IL
Geneva, CH
Košice, SK
Peoria, IL
Learn more

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account