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Performance Predictions Jobs (NOW HIRING)

Protingent

Mid-Level Thermal Engineer

Crystal City, VA · On-site

$130K - $155K/yr

Support design teams by providing thermal performance predictions and recommending design improvements. * Apply Computational Fluid Dynamics (CFD) methods to analyze aerothermal loads, heating ...

Shield AI

WI · On-site

$220 - $340/hr

Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre‑flight performance predictions. * Define and execute the verification strategy, including linear analysis ...

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How much do performance predictions jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for performance predictions in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Performance Analyst, and why are they important?

To thrive as a Performance Analyst, you need strong analytical skills, a background in statistics or data science, and a relevant degree in fields like mathematics, economics, or business. Proficiency in data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is typically required. Attention to detail, effective communication, and problem-solving abilities are valuable soft skills in this role. These competencies ensure accurate data interpretation, actionable insights, and clear reporting that drive organizational improvement.

What is the most popular predictor of job performance?

The most popular predictor of job performance is cognitive ability or intelligence, which correlates strongly with job success across many roles. Other important predictors include work experience, technical skills, and personality traits such as conscientiousness. Employers often use assessments, interviews, and reference checks to evaluate these factors during hiring.

What job is most in demand right now?

Performance prediction roles are increasingly in demand across industries such as finance, marketing, and technology, where data analysis and forecasting skills are essential. These jobs often require proficiency in statistical tools, machine learning, and data visualization, with many positions available in both corporate and consulting environments.

What jobs are predicted to grow in the next 10 years?

Performance prediction roles are expected to grow as organizations increasingly rely on data analytics and machine learning to optimize operations. Jobs in data science, AI development, and related fields are projected to see significant growth, often requiring skills in programming, statistical analysis, and familiarity with tools like Python or R. These roles support decision-making and process improvements across various industries over the next decade.

What are some common challenges faced by professionals in Performance Predictions roles, and how can they overcome them?

Professionals working in Performance Predictions often encounter challenges such as managing large and complex datasets, ensuring the accuracy of predictive models, and effectively communicating findings to non-technical stakeholders. To overcome these challenges, it's important to stay current with modeling techniques, invest time in data cleaning and validation, and develop strong communication skills to translate technical insights into actionable business recommendations. Collaboration with cross-functional teams, like data engineers and business analysts, is also key to refining models and integrating predictions into strategic decision-making.

What is the difference between Performance Predictions vs Data Analysts?

AspectPerformance PredictionsData Analysts
Required credentialsTypically requires data analysis skills, statistical knowledge, and sometimes certifications in predictive modelingRequires strong analytical skills, proficiency in data manipulation, and often degrees in statistics, mathematics, or related fields
Work environmentOften involves working with forecasting models, predictive algorithms, and cross-department collaborationFocuses on data collection, cleaning, analysis, and reporting within various industries
Employer and industry usageUsed in finance, marketing, supply chain, and tech sectors for forecasting and decision-makingCommon across finance, healthcare, marketing, and business sectors for data-driven insights

Performance Predictions and Data Analysts both work with data, but Performance Predictions specializes in forecasting future outcomes using predictive models, while Data Analysts focus on analyzing historical data to generate reports and insights. Understanding these differences helps employers and job seekers target the right skills and roles.

What are performance predictions?

Performance predictions refer to the process of forecasting how well an individual, system, or organization will perform in the future based on current and historical data. In the context of jobs or business, it often involves using statistical models, data analysis, and sometimes machine learning to estimate outcomes such as sales, productivity, or employee performance. These predictions help organizations make informed decisions about resource allocation, hiring, and strategy. Accurate performance predictions can improve planning and reduce risks by identifying potential issues before they arise.

Which jobs will boom in the future?

Performance prediction roles are expected to grow as companies increasingly rely on data analytics and machine learning to optimize employee performance. Skills in data analysis, programming, and understanding of HR metrics are valuable in this field, which supports workforce planning and talent management. These roles are often found in technology-driven industries and require familiarity with predictive modeling tools.
More about Performance Predictions jobs
What job categories do people searching Performance Predictions jobs look for? The top searched job categories for Performance Predictions jobs are:
Performance Predictions jobs near you
Infographic showing various Performance Predictions job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.

Sr. Principal Gas Turbine Performance Engineer (San Diego, CA)

Solar Turbines Incorporated

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Solar Turbines rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

82nd of 486 rated machine equipment manufacturers

Job description

Career Area:
Engineering
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.
Sr. Principal Gas Turbine Performance Engineer - AI-Accelerated Engineering
Why this role
If you love the rigor of thermodynamics and the satisfaction of making models match reality-and you're excited about using modern AI tools to amplify engineering impact-this role is built for you. You'll sit at the crossroads of engine physics, product decisions, and real operating data, building performance models and software that influence everything from new product definition to test cell execution to fielded fleet operations.
What the Performance Group does
The Gas Turbine Performance Group leads concept and advanced cycle studies and delivers calibrated performance predictions for new and upgraded engines. We oversee performance during engine development, support production and acceptance testing, and enable product support teams worldwide with the tools needed to analyze, predict, and guarantee engine performance.
A core part of our mission is building and maintaining the ecosystem (models, workflows, automation, and data pipelines) that turns thermodynamics + test + field data into decisions. Increasingly, our transient cycle models and calibrated physics tools are the foundation for AI-enabled digital twins-unlocking longer service intervals, better cycle-count capability, and improved efficiency through operational flexibility.
What you will do
Turn data into engineering decisions.
Analyze acceptance test and fleet/field datasets to trend performance, troubleshoot issues, and monitor aeromechanical/operability behavior across product lines.
Own high-stakes performance predictions.
Build, calibrate, and defend steady-state and transient performance models for new products, upgrades, and investigations-where accuracy matters and assumptions must be explicit.
Build the tools engineers rely on.
Develop and maintain the internal software used across design, sales/applications, customer services, overhaul, and customer sites-improving usability, automation, traceability, and confidence in results.
Accelerate engineering with AI.
Apply modern AI techniques:
  • speeding up calibration and uncertainty exploration,
  • enabling anomaly detection and diagnostics,
  • creating reduced-order models that stay grounded in physics,
  • supporting digital twin workflows using physics-guided learning approaches.

Collaborate across disciplines.
Work shoulder-to-shoulder with design, controls, test, operations, and digital teams to solve urgent problems quickly while also building long-term capability.
What you'll love about the work
  • Physics-first engineering with direct line-of-sight to real hardware and customer outcomes.
  • High leverage: your models and tools scale across programs, teams, and global sites.
  • A modern toolchain mindset: automation, reproducibility, and AI-assisted workflows are part of the job-not a side hobby.

What you will bring (required)
  • B.S. / B.Eng. in Mechanical or Aerospace Engineering (or closely related field) plus 8+ years applying thermodynamics and performance engineering to real-world problems.
  • Strong foundation in gas turbine performance and thermodynamics (cycles, maps, matching, operability concepts, off-design behavior).
  • Demonstrated ability to work through ambiguity, manage multiple priorities, and deliver high-quality results under schedule pressure.
  • Clear written and verbal communication-you can explain model assumptions, results, and risk to both technical and non-technical partners.
  • Proven habit of finishing work with thoroughness and reliability (validation, documentation, and follow-through).

What sets top candidates apart (preferred)
  • M.S. (or equivalent experience) with a specialty in gas turbine performance, aerodynamics, or closely related area.
  • Deep experience with modeling, calibration, and troubleshooting of gas turbine performance/operability in steady state and/or transient.
  • Strong engineering software skills-building scripts, code, or automation that makes other engineers faster and improves quality.
  • Familiarity with controls and control logic (or willingness to partner closely with controls teams).

Tools & technologies (typical, not exhaustive)
  • 1-D / multiphysics engine performance tools (e.g., NPSS or similar)
  • Programming/scripting: Python (strongly preferred), and/or C/C++/C#/Fortran/VBA
  • Engineering computing: MATLAB / Simulink
  • Analytics & visualization: Tableau (or similar), plus modern data tooling as applicable
  • Standard productivity tools (Microsoft Office suite)

About Caterpillar
Caterpillar is a global leader in construction and mining equipment, engines, industrial gas turbines, and diesel-electric locomotives. For nearly 100 years, we've helped customers build a better, more sustainable world-committed to innovation and a reduced-carbon future.
Summary Pay Range:
$128,470.00 - $192,710.00
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 not available for this position.
Posting Dates:
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.

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