Data Scientist

Trident Systems Inc • Littleton, CO, US

Actively Hiring

Full-time $63k - $117k Posted 5 months ago

Role overview

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

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.

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.

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

Fulltime Data Science Ai