Senior Statistician – AI Product Assurance

Caterpillar Inc.

. Lead statistical validation plans supporting AI product safety claims for release and in-service operation .

Posted 10/14/2026full-timeUnited StatesSenior💰 $112,710 - $183,140 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical validation, experimental design, and risk assessment for AI product safety, with a strong foundation in Bayesian methods and reliability engineering. Capable of collaborating with engineering teams to integrate statistical evidence into safety cases while effectively communicating complex concepts to diverse stakeholders.

Highest-signal resume keywords

Statistical InferenceBayesian MethodsExperimental DesignUncertainty AnalysisReliability Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodsRisk AssessmentData AnalysisQuantitative Safety MetricsCausal MethodsSurvival AnalysisReliability AnalysisRare-Event EstimationUncertainty QuantificationExperimental Design

Soft Skills

Attention to DetailTechnical GuidanceCommunication

Tools & Technologies

Data Management SystemsQuery/Database Access Tools

Certifications & Qualifications

Bachelor’s Degree in StatisticsAdvanced Degree in Statistics

Industry Keywords

AI SystemsSafety-Critical IndustriesFunctional Safety StandardsSOTIF ConceptsAutonomous SystemsRoboticsAutomotiveAerospaceIndustrial SystemsMedical Devices

About the role

Key responsibilities & impact

Lead statistical validation plans supporting AI product safety claims for release and in-service operation
Define quantitative safety metrics, acceptance criteria, and confidence levels aligned with governance and external standards
Design and analyze experiments, simulations, and operational datasets to assess risk, uncertainty, residual hazards, rare events, and edge cases
Apply 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 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 trends, failure modes, and emergent behaviors in agentic systems
Document assumptions, limitations, and conclusions for internal decision-making and external review
Provide technical guidance and mentoring to engineers and analysts
Support post-deployment monitoring, re-validation, and change impact assessment as AI systems evolve

Requirements

What you’ll need

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 of programming concepts and capabilities
Knowledge of data management systems and query/database access tools
Accuracy and attention to detail
Bachelor’s Degree in Statistics, Applied Mathematics, Data Science or related quantitative discipline
Up to 10% travel
Must successfully complete a drug screen
Advanced degree in Statistics, Applied Mathematics, Data Science or related quantitative discipline (consideration for top candidates)
Experience working with AI, machine learning, autonomous, or agentic systems (consideration for top candidates)
Familiarity with functional safety standards and/or SOTIF concepts (consideration for top candidates)
Experience with Earth-Moving Machinery Products (consideration for top candidates)
Experience contributing statistical evidence to safety cases, assurance cases, or regulatory submissions (consideration for top candidates)
Background in safety-critical industries such as autonomy, robotics, automotive, aerospace, industrial systems, or medical devices (consideration for top candidates)
Ability to communicate complex statistical concepts to non-statistical stakeholders (consideration for top candidates)

Benefits

Comp & perks

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
Domestic relocation assistance
Visa sponsorship for eligible applicants