Senior Statistician (AI Product Assurance)

TL;DR

Senior Statistician (AI Product Assurance): Providing rigorous statistical evidence to support the design and deployment of safety-related AI-enabled products with an accent on statistical validation and quantitative safety metrics. Focus on developing validation plans, assessing risk and uncertainty in agentic systems, and integrating statistical evidence into safety cases.

Location: Must work onsite five days a week in Pittsburgh, PA (Alternative locations: Mossville, IL; Irving, TX; Tucson, AZ). Domestic relocation assistance is available.

Salary: $112,710 - $183,140

Company

hirify.global is a global leader in manufacturing construction and mining equipment, focusing on creating sustainable and innovative world-building solutions.

What you will do

• Lead the development and execution of statistical validation plans to support AI product safety claims.
• Define quantitative safety metrics, acceptance criteria, and confidence levels aligned with internal and external standards.
• Design and analyze experiments, simulations, and operational data sets to assess risk, uncertainty, and edge-case behavior.
• Apply advanced statistical techniques including Bayesian inference, reliability analysis, and causal methods to complex systems.
• Collaborate with engineering teams to integrate statistical evidence into safety cases and assurance artifacts.
• Provide technical guidance and mentoring to engineers and analysts on statistical practices for safety-critical applications.

Requirements

• Bachelor’s Degree in Statistics, Applied Mathematics, Data Science or a related quantitative discipline.
• 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, and analysis of non-stationary data.
• Proficiency in programming languages and data management/query tools.
• Ability to work full-time onsite in the USA.

Nice to have

• Advanced Degree in Statistics, Applied Mathematics, or Data Science.
• Experience working with AI, machine learning, autonomous, or agentic systems.
• Familiarity with functional safety standards and SOTIF concepts.
• Background in safety-critical industries such as robotics, automotive, aerospace, or medical devices.

Culture & Benefits

• Comprehensive medical, dental, and vision benefits.
• 401(k) savings plans, Health Savings Account (HSA), and Flexible Spending Accounts (FSAs).
• Paid time off plan including vacation and holidays.
• Tuition reimbursement and career development opportunities.
• Parental leave and adoption benefits.