Wargaming & Modeling Analyst

Assertive Professionals•Charlottesville, VA

2d•Onsite

About The Position

Assertive Professionals is seeking a Wargaming & Modeling Analyst supporting our National Security Customer in Charlottesville, VA. This is an open and funded position. We are offering a salary of $150,000 with a $2,000 sign-on bonus or reimbursable relocation. This is a great opportunity to work for an employee-centric, fast-growing small business. We offer an excellent benefits package, including PTO (accrual rates vary by contract and customer requirements), 401(k) Match at 5%, Profit Sharing, Company-paid Life Insurance, Dental, Vision, STD/LTD, and two options under a national medical plan with employee contribution. This position currently provides 3.33 hours of Paid Time Off (PTO) per pay period and 88 hours of federal holidays. There is an additional $1,200 annual corporate bonus for time and attendance compliance!

Requirements

TS/SCI Clearance
12 years relevant experience with Master's Degree, OR 17 years relevant experience with Bachelor's Degree
Demonstrated experience developing wargames and force-on-force scenarios for threat nation invasion contingencies, including analysis of battle-type factors such as force ratios, national/armed forces strengths and weaknesses, quality and numbers of weapons and equipment, national and armed forces doctrines, and intangibles such as esprit de corps and morale
Demonstrated experience conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to correlate data into graphical, written, visual, and verbal narrative products
Demonstrated experience retrieving information from various sources and building AI tools/processes that automate analytic workflows, including ML-based tools such as recommendation engines or automated scoring systems
Demonstrated experience performing statistical analysis, applying data mining techniques, and building prediction systems
Demonstrated proficiency in data visualization and graphical applications, including Power BI and Tableau
Demonstrated proficiency in major data science languages, including R and Python
Demonstrated experience managing and merging disparate data sources, preferably through R, Python, or SQL
Demonstrated prior experience with large data Multi-INT analytics, ML, and automated predictive analytics
Demonstrated experience collecting, analyzing, and interpreting large-scale data sets to develop data-driven solutions supporting an intelligence division's analytical mission, including ensuring data integrity
Demonstrated technical competency in statistics, coding languages, databases, machine learning, reporting technologies, and data standards
Demonstrated ability to work independently with minimal to no oversight
Demonstrated ability to review analytic products for cogent arguments, tradecraft standards, and adequate support for conclusions

Nice To Haves

Skills in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau
Skills in major data science languages, such as R and Python
Skills in managing and merging of disparate data sources, preferably through R, Python, or SQL
Skills in statistical analysis
Skills in data mining algorithms

Responsibilities

Conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
Creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems, as well as supporting wargaming and modeling & simulation (M&S) events through scenario design, data ingest and preparation, game piece and map development, and adjudication support.
Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems, including simulation-based models used to inform wargame outcomes and decision-support products.
Collecting, analyzing, and interpreting large-scale data sets to develop data-driven solutions supporting an intelligence division's analytical mission, including ensuring data integrity.
Reviewing analytic products for cogent arguments, tradecraft standards, and adequate support for conclusions.