Junior Data Scientist

Join Our Team as a Junior Researcher at Farfield Systems

At Farfield Systems, we have been dedicated to supporting the government contracting community for over 23 years. Our commitment to "employee driven…customer focused" is at the heart of everything we do. We pride ourselves on making our work meaningful for our customers' most important missions, and we believe that happy team members lead to happy customers.

We're looking for a passionate Junior Researcher to join our team and contribute to our mission-driven projects. In this role, you'll play a vital part in supporting analytical, modeling, and decision-analysis efforts across a variety of technical and mission-focused domains. Your work will directly impact our ability to provide innovative solutions that matter.

Key Responsibilities:

Data Mastery: Collect, cleanse, and analyze data related to various technical and operational domains, ensuring accuracy and relevance.

In-Depth Research: Conduct thorough research on systems, data flow, techniques, technologies, and tools that enhance our analytical capabilities.

Technical Documentation: Prepare comprehensive technical documentation, including: Informative reports Engaging presentation slides Detailed technical approaches and findings

Modeling & Simulation (M&S) Application: Leverage M&S techniques to address complex decision analysis problems, network analysis, cost/benefit analysis, and acquisition processes.

Analytical Support: Contribute to analysis in key areas, such as: Communications engineering SIGINT processing and exploitation Cryptanalytic and cryptologic work within intelligence environments

At Farfield Systems, we believe that nurturing our team leads to exceptional customer service. If you're ready to make a difference and grow your career in a supportive environment, we want to hear from you! Join us and be part of something that truly matters.

Requirements:

High School diploma or GED

1+ years of experience in:

Statistics, Operations Research, Computer Science, Electrical Engineering, Systems Engineering, Mathematics, Data Science, Critical Infrastructure Analysis, or related field

Experience with R or Python

Experience using scientific methods for qualitative and quantitative analysis

Ability to work effectively in a collaborative, fast-paced environment

Experience with at least three of the following:

Discrete Event Simulation (e.g., Arena, Simio, ExtendSim)

Optimization Tools (e.g., GUROBI, CPLEX, GAMS)

Decision Analysis Tools (e.g., DPL, DPLF, Logical Decisions, Decision Lens)

Network Modeling Tools (e.g., Netviz, OPNET/RIVERBED, NetSim, PowerWorld, Thyme, SimPower)

General Analysis Tools (e.g., Visual Basic, SAS, SPSS, Netica)

Business/Data Systems (e.g., Oracle, SQL, Access, Cloud platforms)

Statistical/Math Programming (e.g., Python, R, Stata, Matlab)

Data Visualization Tools (e.g., Tableau, QlikView, Plotly)

Classified Intelligence Processes

Preferred Qualifications

Bachelor's degree in:

Operations Research

Applied Mathematics

Mathematics

Data Science

Experience with:

Optimization, modeling, and simulation

Prediction, estimation, and decision analysis

Large-scale data analysis

Data gathering, cleansing, and parsing

Developing and applying M&S models

Ability to work in Windows and Linux environments

Additional Requirements

Demonstrated experience in:

Applying M&S to decision analysis and network problems

Cost/benefit analysis

Acquisition process modeling

Experience working with intelligence-related processes is a plus

Security Clearance Required: TS/SCI with Full Scope Polygraph