McLean, Virginia, JDSAT is an Operations Research and Data Sciences firm currently seeking talented analysts in fields of Operations Research, Data Science, Data Engineering, Computer Science and related fields. We have unique, challenging, and immediate opportunities for dynamic and detail-oriented individuals supporting both federal and private sector clients. We are seeking people who thrive on challenge, like to work in a dynamic environment, and who want their work to make a difference. The ideal candidate for this position is a well-balanced Operations Research Analyst professional who is passionate about advanced analytics to inform decision-making, and experienced in Business Intelligence, Data Visualization, and the development of analytical models. The Senior-Level Operations Research Consultant will be expected to collect technical requirements, liaise with data owners, manipulate and analyze complex data sets, and provide analysis of results that can be visualized in a consolidated information center and easily comprehended by non-technical customers. The Consultant will perform technical analysis on several existing work streams; work with customers to evaluate new requirements; serve as a technical expert capable of clearly explaining technical methodologies in lay terms; deliver technical solutions that meet requirements; and evaluate data sets to creatively explore how they can be developed into new work streams.
Contribute to a Data Analytics Team to deliver technical solutions that meet client requirements in order to create dynamic data visualization and analysis tools to increase the ability of leadership to make informed decisions related to quality-of-care requirements, resources, costs, and overall operations.
Work with clients, managers, and technical staff to understand business needs and translate these needs into technical models.
Establish and manage relationships with clients and all project stakeholders.
Perform risk management to minimize project risks and meet established deliverable timelines.
Create and maintain comprehensive project documentation.
Provide subject matter expertise and coaching to team members to improve capabilities and product delivery.
Liaise with customer operations researchers and subject matter experts to improve algorithm effectiveness against Key Performance Indicators.
Extract, transform, integrate, and analyze data from disparate relational database management systems.
Conduct exploratory analysis and data visualization.
Develop models for predictive and prescriptive analyses.
Support implementation of data and analytical products at client facilities.
Support implementation of proof of concepts to help make technology choices and validate modeling assumptions.
Develop professional communication products in technical and functional areas that communicate business value to the client. Includes briefings (oral and written), white papers, and reports.
Contribute to the overall enhancement of the project company processes and procedures.
Required Skills and Abilities
Master's of Science degree in Operations Research, Data Science, Data Analytics, Data Engineering, Industrial Engineering, Systems Analysis, Statistics, Mathematics, or related STEM field.
Minimum of six (6) years of experience in a relevant field as described above.
Experience building a variety of machine learning models.
Experience building optimization and simulation models.
Experience in Object-Oriented Programming (Python, Java, or C++ are preferred).
Experience with SQL and relational databases.
Experience with statistical programming languages (R, Python, SAS, etc.).
Experience with Excel and Visual Basic for Applications.
Experience developing interactive data visualizations for exploratory analysis.
Excellent written and verbal communication skills with both technical and non-technical audiences.
Possess, or be able to obtain, a SECRET-level security clearance.
Desired Skills and Abilities
Master’s of Science degree in Operations Research, Data Science, Data Analytics, Data Engineering, Industrial Engineering, Systems Analysis, Statistics, Mathematics, or related STEM field, with minimum of eight (8) years of experience in a related field.
Minimum of four (4) years of experience working in DoD.
Experience with enterprise-level Capability-Based Assessments, risk analyses, and readiness analyses.
Experience leading analytic projects and teams to create, develop, and implement data analytics architecture, including data warehousing, data visualization, analytic modeling, and reporting.
Experience leading analytic projects and teams to create, develop, and implement large-scale optimization models.
Experience leading analytic projects and teams to create, develop, and implement large-scale agent-based and discrete event simulation.
Experience applying Robotic Process Automation to recurring analytics activities.
Experience as a consultant balancing highly-technical and non-technical functional roles.
Must be willing to relocate (if necessary).