Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDAre you a powerhouse data scientist who thrives on solving large-scale operational challenges? Bring your 10+ years of advanced expertise to architect predictive models, run complex simulations, and drive multi-objective decision frameworks using Pandas, R, Python, or MATLAB. Translate intricate machine learning and statistical data analytics into clear strategic narratives for high-level stakeholders!
In this role, you will lead the charge in defining complex problems, gathering critical stakeholder requirements, and applying advanced mathematical techniques to guide critical decision-making. If you are ready to transform large-scale operational challenges into optimized mission solutions alongside a team that values engineering excellence, let's achieve more together!
The annual base salary range for this role is $200,000-$237,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Core Experience: 10+ years of professional experience analyzing complex management and operational problems using advanced operations research techniques.
- Modeling & Simulation: 4+ years of hands-on experience applying modeling and simulation frameworks to address high-level decision analysis problems.
- Strategic Analysis: 4+ years of experience conducting multi-objective decision analysis or cost-benefit analysis in direct support of research objectives.
- Data Toolset & Toolkits: 4+ years of deep expertise using tools and libraries such as Pandas, R, Excel/VBA, Arena, Octave, Tableau, Gurobi, CPLEX, ExtendSim, SAS, Netica, Statsmodels, Stata, MATLAB, or SPSS.
- Stakeholder Engagement: Proven experience conducting problem definitions and gathering detailed data requirements directly from stakeholders.
- Communication: Outstanding oral and written communication skills with a track record of explaining intricate data analysis to non-technical stakeholders.
Education: 10 years of experience with a technical bachelor's degree, 14+ years of experience without a techncial bachelor's degree.
Desired Skills- Model Validation: Experience developing and performing rigorous verification and validation (V&V) of models to ensure adequacy and performance.
- Knowledge Sharing: Experience developing and delivering comprehensive training materials for operations research techniques.
- Executive Briefing: Experience briefing high-level results and preparing thorough written reports on analytic approaches and methodologies.
- Emerging Tech: Familiarity or experience with machine learning and large language models (LLMs) to solve complex enterprise problems.
