ZipRecruiter

Log In

1

Model Predictive Control Jobs in Virginia (NOW HIRING)

steampunk

AI Developer with Security Clearance

Fairfax, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

Steampunk

AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

Seekr

Senior Data Scientist

Reston, VA · On-site

We are looking for talentedData Scientists to join our team and deliver generative and predictive ... models * Strong programming skills in Python required. Experience in java and html a plus.

Analytica

Senior Data Scientist

Falls Church, VA · On-site

$140 - $190/hr

Apply statistical methods, predictive modeling, machine learning, and time-series analysis to solve ... Contribute to collaborative software development using Git-based version control, code reviews ...

Posted today

ANSER

Senior Computer Scientist

Reston, VA · On-site

... control repositories. • Employ data science techniques to support predictive analysis, social ... modeling, data mining, statistical analysis, and ML algorithms. • Experienced with knowledge ...

ANSER

Senior Computer Scientist

Reston, VA · On-site

... control repositories. • Employ data science techniques to support predictive analysis, social ... modeling, data mining, statistical analysis, and ML algorithms. • Experienced with knowledge ...

ANSER

Principal Computer Scientist

Reston, VA · On-site

... control repositories. • Employs data science techniques to support predictive analysis, social ... modeling, data mining, statistical analysis, and ML algorithms. • Strong experience with ...

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

... analytics models, and machine-learning solutions to support process automation and predictive ... Support the creation and enforcement of data governance, metadata, and access-control frameworks in ...

Socket.dev

Senior Data Scientist

Triangle, VA · On-site

$140 - $190/hr

Design, build, and deploy predictive models and machine learning solutions across use cases such as ... Establish and enforce best practices for code quality, version control, model documentation, and ...

previous page

Showing results 41-60

All JobsModel Predictive Control JobsModel Predictive Control Jobs in Virginia

Model Predictive Control information

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What are popular job titles related to Model Predictive Control jobs in Virginia? For Model Predictive Control jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Virginia look for? The top searched job categories for Model Predictive Control jobs in Virginia are:
What cities in Virginia are hiring for Model Predictive Control jobs? Cities in Virginia with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Enterprise Schedule Analytics & Operations Research Analyst

Peraton

Herndon, VA • On-site

$104K - $166K/yr

Full-time

Re-posted 3 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

50th of 223 rated it services

Job description

Responsibilities
Join Peraton in advancing the safety, efficiency, and modernization of the National Airspace System (NAS) through the FAA's Brand New Air Traffic Control System (BNATCS) contract. As a trusted partner to the Federal Aviation Administration, Peraton helps deliver the systems and services that keep our nation's skies safe and connected. We're looking for innovative professionals who thrive in mission-critical environments and are passionate about shaping the future of air traffic management. This is your chance to make an impact on one of the world's most vital transportation infrastructures, working alongside leaders in aviation, engineering, data science, and systems integration.
At Peraton, you won't just support the mission - you'll define it.
Peraton is seeking a Principal Enterprise Schedule Analytics & Operations Research Analyst to support mission-critical aviation programs aligned with the National Airspace System.This position serves as the lead analytical resource supporting enterprise schedule intelligence, operations research, optimization, and decision analytics for complex FAA modernization programs. The incumbent leverages the IRIS AI-enabled Schedule Intelligence capability to analyze enterprise Integrated Master Schedules (IMS), identify hidden constraints, quantify schedule impacts, optimize execution strategies, and support executive decision-making.
Location:
  • On-site in Herndon, VA.

Primary Responsibilities:
The role combines advanced schedule analytics, operations research, statistical analysis, predictive modeling, and enterprise studies to transform large volumes of schedule and program data into actionable recommendations. This is not a traditional scheduling position; it is a decision analytics role focused on improving enterprise execution.
Enterprise Schedule Analytics
  • Analyze enterprise Integrated Master Schedules containing hundreds of thousands to millions of activities.
  • Assess schedule health using critical path, total float, free float, logic density, open-end analysis, constraints, baseline variance, and schedule integrity metrics.
  • Identify missing predecessors/successors, out-of-sequence progress, resource conflicts, hidden dependencies, and enterprise schedule risks.
  • Perform trend analysis, milestone forecasting, and cross-program dependency assessments.

Operations Research & Schedule Optimization
  • Develop optimized Courses of Action (COAs) to improve enterprise schedule performance.
  • Perform what-if analyses, trade studies, predictive modeling, simulation, and sensitivity analyses.
  • Quantify impacts of proposed schedule changes before implementation.
  • Develop recovery strategies and recommend optimal sequencing of work.

Enterprise Studies & Decision Analysis
  • Conduct independent studies assessing vendor production capacity, raw material availability, manufacturing throughput, installation sequencing, workforce utilization, resource constraints, and supply chain impacts.
  • Evaluate enterprise business rules and cross-program impacts.
  • Support strategic planning through quantitative and qualitative analysis.

AI & Data Analytics
  • Develop, refine, and optimize analytical queries within the IRIS platform.
  • Build reusable query templates and analytical models.
  • Validate, cleanse, and integrate schedule, cost, logistics, production, and performance data.
  • Leverage AI-enabled analytics and knowledge graph capabilities to identify hidden scheduling constraints.

Executive Decision Support
  • Develop executive dashboards, visualizations, decision packages, and analytical briefings.
  • Translate complex technical findings into concise recommendations for executive leadership.
  • Support executive governance boards, FAA integration sessions, and program reviews.

Collaboration
  • Partner with Program Managers, schedulers, systems engineers, risk managers, logistics personnel, and government stakeholders.
  • Support enterprise solutioning efforts to identify and resolve schedule friction points.

Qualifications
Required Qualifications:
  • U.S. Citizenship Required.
  • Must have the ability to obtain / maintain a Public Trust clearance.
  • Bachelor's degree and 8 years of experience or Master's degree and 6 years of experience or Associates Degree and 10 years of experience or HS diploma/equivalent and 12 years' experience.
  • Experience supporting large, complex government, aerospace, or defense programs.
  • Experience analyzing Integrated Master Schedules using scheduling tools.
  • Experience with statistical analysis, optimization, predictive analytics, simulation, or operations research.
  • Experience developing executive-level briefings and decision support products.
  • Strong analytical thinking, written communication, and presentation skills.

Preferred Qualifications
  • Exposure to FAA programs or NAS systems.
  • Experience with FAA systems, federal modernization efforts, or mission-critical environments.
  • Bachelor's or Master's Degree in Operations Research, Systems Engineering, Industrial Engineering, Data Science, Mathematics, Statistics, Computer Science, Business Analytics, Engineering, or related STEM discipline.
  • FAA, DoD, or Federal modernization program experience.
  • Experience with SQL, Python, R, Power BI, Tableau, Acumen Fuse, Acumen Risk, Safran Risk, Primavera P6 or similar analytical platforms.
  • Knowledge of DCMA 14-Point Assessment, IPMDAR, MIL-STD-881, and schedule risk methodologies.
  • Experience with AI-enabled analytics, digital engineering, and knowledge graph technologies.
  • PMP, PMI-SP, AACE, INCOSE, or equivalent professional certification.

#BNATCS
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Peraton logo

About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

View All Peraton Jobs

Apply