Today
Top Secret
Unspecified
Unspecified
Engineering - Systems
Las Vegas, NV (On-Site/Office)
Overview
Own Your Future.
Modern Technology Solutions, Inc. (MTSI) is seeking a Predictive Modeling & Simulation Analyst for the USAFWC Exercise support. Candidate will be responsible for work in a multitasking, quick-paced, dynamic environment supporting USAF Warfare Center Large Force Exercises, Operational Test and Tactics Development. Candidate will support planning and execution of Chairman, Joint Chief of Staff (CJCS), Combatant Command (COCOM), and Major Command (MAJCOM)-level exercises and events. This position will work out of the USAF Warfare Center at Nellis AFB.
Why is MTSI known as a Great Place to Work?
Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.
For more information about MTSI, please visit www.mtsi-va.com .
Responsibilities
Candidate will play a crucial role in assessing and predicting the interaction of many factors and variables related to Large Force Exercises. Candidate will use statistical modeling and simulation expertise to analyze complex datasets, develop predictive models, and conduct Monte Carlo stochastic simulations. Candidate will use advanced statistical modeling techniques to analyze and interpret large datasets, identifying key variables and trends to inform senior leaders and combatant command planning. Candidate will develop and implement predictive models to forecast and simulate the behavior of complex systems, events, or scenarios, and collaborate with cross-functional teams to gather data, validate models, and refine assumptions to ensure accurate simulations. Candidate will stay up-to-date with advancements in predictive modeling, simulation techniques, and relevant industry trends, and advise the team in best practices to integrate these advancements into the analysis process. Lastly, candidate will present findings, insights, and recommendations to stakeholders, providing clear explanations of complex concepts in a concise and understandable manner.
Primary Tasks include:
• Data Collection and Analysis: Gather customer inputs, translate them to variables and analyze large datasets to identify trends, patterns, and important variables to provide critical input for model development and simulation
• Predictive Modeling: Develop and refine predictive models using appropriate statistical methods and techniques to forecast outcomes and scenarios related to specific events or factors
• Simulation Runs: Perform Monte Carlo stochastic simulations based on established predictive models and defined variables, and then transform the data into a meaningful product for non-technical customers
• Model Validation: Test and validate the models to ensure their accuracy and reliability, adjusting as necessary based on results and customer requirements or changes
• Data Visualization: Create comprehensive data visualizations to represent simulation outcomes and model predictions clearly and effectively
• Process Improvement: Continually assess and improve modeling and simulation processes to increase efficiency and accuracy, incorporating new methods or technologies as appropriate
Qualifications
Required Skills:
• 5+ years experience in systems engineering, predictive modeling, statistical analysis, and simulation techniques
• Demonstrated familiarity with tools such as AFSIM, JDS, NGTS, EXTENDSIM, SIMDIS, and/or STK
• Proficiency in programming languages such as R, Python, or MATLAB.
• Bachelor's degree in a quantitative field such as Mathematics, systems engineering, or related disciplines
• Excellent analytical and problem-solving skills, with the ability to interpret complex data and draw meaningful conclusions.
• Ability to work independently and collaborate effectively within a team environment.
• Detail-oriented mindset, with a strong focus on accuracy and quality of work, and the ability to flex to rapidly changing information and requirements
Desired Skills:
• Assist in the development of tools and processes to include: development of tailored visualizations, user experience and interface updates, automation of manual workflows, multi-system integrations, and after-action review product creation
• Experience with Air Battle Management, AOC, C2, combat operations and/or datalinks is highly desirable
• Working knowledge of military operations/exercise planning, dynamic targeting, intelligence operations, and sensor-to-shooter methodologies
Education Requirements:
• Bachelor of Science required. Master's degree desired
• Graduate of formal USAF/USN platform instructor course desired
• Experience may be considered in lieu of formal education
Travel Requirements:
Routine travel is expected. Candidates should anticipate one week per month. Non-traditional work hours may be required. Expectation is that work will be performed onsite. Occasional telework options may be available with approval from mission partner.
Clearance Requirements:
Current Top Secret (TS) Security Clearance with SCI eligibility and the ability to obtain access to Special Access Required (SAR) Programs and Special Technical Operations (STO).
U.S. Citizenship is required.
#LI-RR1
#MTSIjobs
#mtsi
#LI-Onsite
Own Your Future.
Modern Technology Solutions, Inc. (MTSI) is seeking a Predictive Modeling & Simulation Analyst for the USAFWC Exercise support. Candidate will be responsible for work in a multitasking, quick-paced, dynamic environment supporting USAF Warfare Center Large Force Exercises, Operational Test and Tactics Development. Candidate will support planning and execution of Chairman, Joint Chief of Staff (CJCS), Combatant Command (COCOM), and Major Command (MAJCOM)-level exercises and events. This position will work out of the USAF Warfare Center at Nellis AFB.
Why is MTSI known as a Great Place to Work?
- Interesting Work: Our co-workers support some of the most important and critical programs to our national defense and security.
- Values: Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
- 100% Employee Ownership: we have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.
- Great Benefits - Most Full-Time Staff Are Eligible for:
- Starting PTO accrual of 20 days PTO/year + 10 holidays/year
- Flexible schedules
- 6% 401k match with immediate vesting
- Semi-annual bonus eligibility (July and December)
- Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
- Up to $10,000 in annual tuition reimbursement
- Other company funded benefits, like life and disability insurance
- Optional zero deductible Blue Cross/Blue Shield health insurance plan
- Track Record of Success: We have grown every year since our founding in 1993
Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.
For more information about MTSI, please visit www.mtsi-va.com .
Responsibilities
Candidate will play a crucial role in assessing and predicting the interaction of many factors and variables related to Large Force Exercises. Candidate will use statistical modeling and simulation expertise to analyze complex datasets, develop predictive models, and conduct Monte Carlo stochastic simulations. Candidate will use advanced statistical modeling techniques to analyze and interpret large datasets, identifying key variables and trends to inform senior leaders and combatant command planning. Candidate will develop and implement predictive models to forecast and simulate the behavior of complex systems, events, or scenarios, and collaborate with cross-functional teams to gather data, validate models, and refine assumptions to ensure accurate simulations. Candidate will stay up-to-date with advancements in predictive modeling, simulation techniques, and relevant industry trends, and advise the team in best practices to integrate these advancements into the analysis process. Lastly, candidate will present findings, insights, and recommendations to stakeholders, providing clear explanations of complex concepts in a concise and understandable manner.
Primary Tasks include:
• Data Collection and Analysis: Gather customer inputs, translate them to variables and analyze large datasets to identify trends, patterns, and important variables to provide critical input for model development and simulation
• Predictive Modeling: Develop and refine predictive models using appropriate statistical methods and techniques to forecast outcomes and scenarios related to specific events or factors
• Simulation Runs: Perform Monte Carlo stochastic simulations based on established predictive models and defined variables, and then transform the data into a meaningful product for non-technical customers
• Model Validation: Test and validate the models to ensure their accuracy and reliability, adjusting as necessary based on results and customer requirements or changes
• Data Visualization: Create comprehensive data visualizations to represent simulation outcomes and model predictions clearly and effectively
• Process Improvement: Continually assess and improve modeling and simulation processes to increase efficiency and accuracy, incorporating new methods or technologies as appropriate
Qualifications
Required Skills:
• 5+ years experience in systems engineering, predictive modeling, statistical analysis, and simulation techniques
• Demonstrated familiarity with tools such as AFSIM, JDS, NGTS, EXTENDSIM, SIMDIS, and/or STK
• Proficiency in programming languages such as R, Python, or MATLAB.
• Bachelor's degree in a quantitative field such as Mathematics, systems engineering, or related disciplines
• Excellent analytical and problem-solving skills, with the ability to interpret complex data and draw meaningful conclusions.
• Ability to work independently and collaborate effectively within a team environment.
• Detail-oriented mindset, with a strong focus on accuracy and quality of work, and the ability to flex to rapidly changing information and requirements
Desired Skills:
• Assist in the development of tools and processes to include: development of tailored visualizations, user experience and interface updates, automation of manual workflows, multi-system integrations, and after-action review product creation
• Experience with Air Battle Management, AOC, C2, combat operations and/or datalinks is highly desirable
• Working knowledge of military operations/exercise planning, dynamic targeting, intelligence operations, and sensor-to-shooter methodologies
Education Requirements:
• Bachelor of Science required. Master's degree desired
• Graduate of formal USAF/USN platform instructor course desired
• Experience may be considered in lieu of formal education
Travel Requirements:
Routine travel is expected. Candidates should anticipate one week per month. Non-traditional work hours may be required. Expectation is that work will be performed onsite. Occasional telework options may be available with approval from mission partner.
Clearance Requirements:
Current Top Secret (TS) Security Clearance with SCI eligibility and the ability to obtain access to Special Access Required (SAR) Programs and Special Technical Operations (STO).
U.S. Citizenship is required.
#LI-RR1
#MTSIjobs
#mtsi
#LI-Onsite
group id: RTL041421
