Data Scientist

TRIDENT SYSTEMS LLC

4h

About The Position

This position will be part of the Predictive Maintenance and Logistics Team supporting Department of Defense (DoD) customers on projects that leverage advanced technologies including machine learning, artificial intelligence (ML/AI), and cloud infrastructure. The Data Scientist II will contribute to the development, evaluation, and deployment of data-driven models focused on time-series telemetry and operational system data.

The role emphasizes hands-on Python development using modern machine learning frameworks, working with real-world sensor and telemetry data to build models that support health monitoring, anomaly detection, forecasting, and decision support. The Data Scientist II will collaborate closely with engineers, data visualization specialists, and program leadership to transition analytical solutions from research into operational environments. U.S. citizenship and the ability to obtain a security clearance are required.

Requirements

• Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field with 0 years of experience, or Bachelor’s degree in a related field with 2+ years of relevant experience (or equivalent experience in lieu of a degree).
• Proficiency in Python for data analysis and machine learning.
• Experience with common machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, or similar).
• Familiarity with time-series data, telemetry, or sensor-based datasets.
• Working knowledge of data analysis tools such as NumPy, Pandas, and SciPy.
• Ability to communicate technical concepts clearly in both written and verbal form.
• Strong analytical thinking and problem-solving skills.
• Must be a U.S. Citizen with the ability to obtain and maintain a security clearance.

Nice To Haves

• Experience applying machine learning to predictive maintenance, health monitoring, or operational analytics on time-series data systems.
• Exposure to model deployment concepts (e.g., batch pipelines, APIs, or edge/embedded environments).
• Familiarity with cloud platforms or big data environments.
• Experience working in a government or DoD context.
• Familiarity with the relationship between engine signals and performance.
• Knowledge of version control (e.g., Git) and collaborative development workflows.

Responsibilities

• Develop and evaluate machine learning models using Python to analyze time-series and telemetry data.
• Perform data exploration, feature engineering, and preprocessing on structured and semi-structured datasets.
• Develop Physics-informed models based on the known relationships of signals for systems with low historical data available.
• Implement algorithms for anomaly detection, predictive modeling, and trend analysis in operational data.
• Support model validation, performance evaluation, and documentation.
• Contribute to the deployment of models into production and embedded environments in coordination with engineering teams.
• Collaborate with data visualization and software teams to integrate model outputs into dashboards and decision-support tools.
• Document methodologies, assumptions, and results for technical and non-technical stakeholders.
• Stay current with emerging machine learning techniques and apply best practices to ongoing projects.
• Perform other duties as assigned.

Benefits

• Health benefits
• Medical
• Dental
• Vision
• Basic life with AD&D
• Short term disability
• Long term disability
• Ancillary (Voluntary life with AD&D, accident, critical illness, hospital, and pet)
• Spending accounts (HSA, FSA, and DCFSA)
• Paid time off
• Holidays
• 401(k) (including automatic company contribution)
• Tuition reimbursement
• Leaves (Parental, pregnancy, and military)
• Potential annual bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level