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Model Validation Jobs in Arizona (NOW HIRING)

Insight Enterprises

Principal Data Scientist

Phoenix, AZ · On-site

$150 - $210/hr

Translate business and clinical questions into data science problem statements, develop modeling approaches, validate outputs, and partner with engineering teams to productionize solutions.Data ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

Build and maintain data pipelines, feature engineering processes, and model validation workflows. * Integrate analytics into SOC tools and operational workflows using Docker- and Kubernetes-based ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

Build and maintain data pipelines, feature engineering processes, and model validation workflows. * Integrate analytics into SOC tools and operational workflows using Docker- and Kubernetes-based ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

Build and maintain data pipelines, feature engineering processes, and model validation workflows. * Integrate analytics into SOC tools and operational workflows using Docker- and Kubernetes-based ...

Freeport McMoRan

Data and AI Engineer II

Phoenix, AZ · On-site

$109K - $131K/yr

Data science experience wrangling data, model selection, model training, model validation, Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale ...

Freeport McMoRan

Data and AI Engineer II

Phoenix, AZ · On-site

$109K - $131K/yr

... training, model validation, Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale Preferred Qualifications Working knowledge of Azure Stream ...

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Showing results 21-40

All JobsModel Validation JobsModel Validation Jobs in Arizona

Model Validation information

See Arizona salary details

$21

$48

$72

How much do model validation jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for model validation in Arizona is $48.45, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $58.89 per hour, depending on experience, location, and employer.

What is a model validation?

A Model Validation job involves assessing and verifying the accuracy, reliability, and performance of mathematical and statistical models used in finance, risk management, or other industries. Professionals in this role conduct independent testing, evaluate assumptions, and ensure models comply with regulatory and internal standards. They identify weaknesses, suggest improvements, and help mitigate potential risks associated with model usage. Model validators often work with machine learning models, credit risk models, or trading algorithms, depending on the industry.

What are the key skills and qualifications needed to thrive in the model validation position, and why are they important?

To thrive as a Model Validation professional, you need strong quantitative, statistical, and analytical skills, often supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python or R, statistical modeling software, and familiarity with regulatory guidelines like SR 11-7 or CCAR is essential. Outstanding attention to detail, problem-solving abilities, and clear communication are valuable soft skills in this role. These competencies are crucial for rigorously assessing complex models, documenting findings, and collaborating effectively with model developers and risk management teams.

What are some common challenges faced by professionals in model validation roles?

One common challenge in Model Validation is staying up-to-date with evolving regulatory requirements and industry best practices, which can impact how models should be tested and documented. Model validators often work with highly complex financial or risk models, requiring strong analytical skills to assess underlying assumptions and potential risks. Additionally, balancing the need for thoroughness with tight deadlines and collaborating with model developers to address issues can be demanding. However, overcoming these challenges offers valuable opportunities to build expertise, work cross-functionally, and play a critical role in ensuring the integrity and reliability of key business decisions.

What are the most commonly searched types of Model Validation jobs in Arizona?

The most popular types of Model Validation jobs in Arizona are:

What job categories do people searching Model Validation jobs in Arizona look for?

The top searched job categories for Model Validation jobs in Arizona are:

What cities in Arizona are hiring for Model Validation jobs?

Cities in Arizona with the most Model Validation job openings:

Model Validation jobs near you
Infographic showing various Model Validation job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,786 per year, or $48.5 per hour.

Senior Industrial Engineer - Capacity and Capability Planning

GTI Fabrication

Tempe, AZ • On-site

$130K - $160K/yr

Full-time

Posted 9 days ago

Key responsibilities

  • Develop and maintain capacity models at site, process, equipment, and network levels to support current operations and future growth.

  • Perform manufacturing capability assessments and identify bottlenecks, capability gaps, and technical risks across facilities and processes.

  • Model scenario options for volume growth, product-mix changes, and facility expansions, and develop data-driven capital investment strategies.

Job description

GTI is a contract manufacturing partner supporting customers in renewable energy, power generation, infrastructure, and industrial systems.
 
We fabricate custom designed, purpose-built enclosures and skids for our customers and perform mechanical and electrical integration in-house, delivering a true turn-key product to our customers. Our scope spans Engineering, prototype builds, through full production, requiring teams that can move fast, adapt, and execute with precision.
 
GTI Values: Safety I Quality I Customer Obsession I Speed I Agility 
Role Summary

GTI Fabrication is seeking a Senior Industrial Engineer – Capacity & Capability Planning to lead industrial engineering analysis for enterprise and site-level manufacturing capacity and capability planning across new plants, joint ventures, and major facility expansions. This position owns the development of demand-to-capacity models, capability assessments, constraint analysis, and scenario planning to establish where and how future production requirements are executed.

The Senior Industrial Engineer will serve as a key technical authority, translating product demand, process requirements, equipment performance, labor assumptions, and facility constraints into data-driven capacity strategies and capital investment recommendations. This role requires advanced expertise in industrial engineering principles, rigorous analytical modeling, and strong cross-functional alignment across contract manufacturing operations.

Key Responsibilities

Capacity Modeling & Enterprise Strategy

  • Develop and maintain site, process, equipment, and network-level capacity models to support current operations and future growth.
  • Translate demand forecasts, product mix, takt requirements, routings, cycle times, yields, OEE, staffing, and shift patterns into demonstrated and required capacity.
  • Establish standardized assumptions and methodologies for rated, practical, and demonstrated capacity, utilization, line balancing, and constraint analysis.
  • Maintain long-range capacity and capability roadmaps aligned to business plans, product launches, and sourcing strategies.

Capability Assessment & Network Readiness

  • Perform manufacturing capability assessments across facilities, processes, tooling, quality systems, and infrastructure for new product introductions and volume ramps.
  • Identify single points of failure, bottlenecks, and capability gaps across fabrication, assembly, testing, material handling, and warehousing operations.
  • Formulate capability risk matrices, closure plans, and countermeasure strategies to ensure overall operational readiness.
  • Establish recommended process qualification and validation requirements to bridge identified technical gaps.

Strategic Scenario Modeling & Capital Investment Planning

  • Model scenario options for volume growth, product-mix changes, shift additions, overtime, line replication, equipment additions, and footprint expansions.
  • Develop data-driven make-versus-buy, debottlenecking, and capital deployment alternatives using cost, risk, schedule, and scalability criteria.
  • Define technical specifications, timing, and capital requirements for production equipment, tooling, utilities, facilities, and automation.
  • Deliver executive-level decision packages and business cases for network footprint and capital investment strategy.

Cross-Functional Execution & Model Validation

  • Partner with Operations and Advanced Manufacturing Engineering to validate cycle times, process capabilities, and equipment rates against shop-floor performance.
  • Collaborate with Supply Chain, Finance, Facilities, Quality, and Commercial teams to align vendor capacity, capital budgets, and customer timing.
  • Perform post-investment performance verifications and bottleneck audits to validate throughput gains against predictive models.
  • Lead project-based industrial engineers and technical resources assigned to network expansion initiatives.
Required Qualifications
  • Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, or a related technical discipline.
  • 5–8+ years of progressive industrial engineering experience focused on capacity planning, facility layout design, line balancing, and capability modeling in manufacturing environments.
  • Demonstrated expertise in building complex, data-driven demand-to-capacity models, discrete event simulations, or mathematical queueing/WIP models.
  • Proven track record of evaluating site footprint expansions, line replications, capital equipment justification, and operational debottlenecking.
  • Strong understanding of continuous improvement tools, OEE breakdown analysis, takt time calculations, and process yield modeling.
Preferred Qualifications
  • Experience in high-mix, low-volume, or engineered-to-order manufacturing environments (e.g., structural steel fabrication, heavy equipment, modular platforms, or complex system integration).
  • Background in capital planning and facility design for greenfield or brownfield site developments.
  • Advanced proficiency in ERP/PLM systems, data visualization platforms (Power BI, Tableau), and simulation tools (Arena, FlexSim, or similar).
  • Lean Six Sigma Black Belt or related continuous improvement certification.