Enterprise - Operations Research Analyst - Modeling, Simulation
About The Position
Develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Requirements
- Experience conducting problem definition and gathering data requirements from stakeholders
- Oral and written communications skills to explain data analysis to stakeholders
- 10+ years of experience with conducting analysis of management and operational problems using operations research techniques
- 4+ years of experience with the application of modeling and simulation to address decision analysis problems
- 4+ years of experience conducting multiple objective decision analysis or cost benefit analysis in support of research objectives
- 4+ years of experience with PANDAS, R, Excel and VBA, ARENA, OCTAVE, Tableau, Gurobi and CPLEX, EXTENDSIM, SAS, NETICA, stats models, Stata, MATLAB, or SPSS
- Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field
- A current Top-Secret/SCI with polygraph security clearance is required
Nice To Haves
- Experience with developing and performing verification and validation of models to ensure adequacy
- Experience developing and delivering training materials for operations research techniques
- Experience briefing results and preparing written reports on analytic approaches and methodologies
- Experience with the use of machine learning and large language models to solve complex problems
- Master’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field
Responsibilities
- Develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets
- Prototype or consider several algorithms and decide upon final model based on suitable performance metrics
- Build models or develop experiments to generate data when training or example datasets are unavailable
- Generate reports and visualizations that summarize datasets and provide data-driven insights to customers
- Partner with subject matter experts to translate manual data analysis into automated analytics
- Implement prototype algorithms within production frameworks for integration into analyst workflows
Benefits
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and Monthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
- Referral bonus of up to $10,000 for each successful hire
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What This Job Offers
Job Type
Full-time
Career Level
Senior
