Data Science Intern

Position Title: Data Science Intern
Requisition ID: 1735
Position Location: Fairfax, VA
Position Reports To: Associate Manager, Data Science 

At Trident Systems, we believe that strong engineering principles are fundamental to driving innovation and solving complex problems. We promote a culture characterized by rigorous engineering practices and a commitment to continuous improvement. This is achieved by leveraging our organization's collective expertise through collaborative development processes, which include thorough design and peer reviews. We can deliver innovative, high-performance solutions that meet our customers' evolving requirements by integrating our specialized knowledge in aerospace electronic systems with appropriately scaled development methodologies.

We are a mission partner supporting DoD, Intelligence Community, and Civil space customers. We develop complex, radiation effects mitigated, designs that balance competing requirements in modern space programs, delivering cutting-edge solutions that enable our customers to achieve more in space.

Position Summary

Trident Systems is seeking a Data Science Intern to support ongoing research in condition-based maintenance plus (CBM+) — a data-driven vehicle health monitoring strategy. The intern will work with Controller Area Network (CAN) bus telemetry data collected from multiple vehicles to develop and refine machine learning models capable of predicting maintenance needs and identifying anomalies in vehicle performance. This is an opportunity to apply data science skills to a real-world engineering problem with direct relevance to Department of Defense vehicle readiness initiatives.

Duties and Responsibilities

• Analyzes and explores CAN bus telemetry data collected from multiple vehicles to develop predictive maintenance algorithms.
• Develops, refines, and evaluates machine learning models using a data-driven approach to identify vehicle health and performance patterns.
• Identifies signals of interest, normal operational patterns, and deviations or anomalies that indicate upcoming maintenance requirements.
• Works with anonymized open-source vehicle telemetry data from a repository of data-logged vehicles to draw new inferences about vehicle health.
• Collaborates with engineers and researchers to document findings, present results, and contribute to project reporting.
• Perform other duties as assigned. 

Required Qualifications

• Pursuing a Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Knowledge of machine learning fundamentals and experience applying data-driven modeling approaches to real-world datasets.
• Proficiency in Python and common data science libraries including NumPy, pandas, scikit-learn, and SciPy.
• Must be a US Citizen.
• Must be geographically located within a commutable distance to the Trident Systems office in Fairfax, VA. 

Preferred Qualifications

• Experience with time-series analysis, signal processing, or anomaly detection methods.
• Familiarity with automotive systems, vehicle telematics, or CAN bus communication protocols.
• Experience with data visualization tools or libraries (e.g., Matplotlib, Seaborn, Plotly) to communicate analytical findings.
• Strong intellectual curiosity, attention to detail, and a drive to find meaningful patterns in complex, high-dimensional data.

Trident Systems reserves the right to change or assign other duties to this position. 

Trident Solutions is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. To request reasonable accommodation to participate in the job application or interview process, please contact recruiting@tridsys.com.

Pay Transparency: The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)