Data Scientist
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Scientist developing Python machine-learning models for Trident Systems’ DoD aerospace and space customers. Building telemetry analytics for anomaly detection, forecasting, and predictive maintenance.
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
- Use natural language processing and probabilistic modeling to extract data from maintenance records
- Develop physics-informed models based on known signal relationships for systems with limited historical data
- Implement algorithms for anomaly detection, predictive modeling, and trend analysis in operational data
- Support model validation, performance evaluation, and documentation
- Contribute to deploying models into production and embedded environments 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
- Support travel or off-site work as needed
- Perform other duties as assigned
- Support Department of Defense customers on Predictive Maintenance and Logistics Team projects involving ML/AI and cloud infrastructure
- Collaborate with engineers, data visualization specialists, and program leadership to transition analytical solutions from research into operational environments
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, such as scikit-learn, PyTorch, TensorFlow, or similar
- Experience with natural language processing techniques and toolchains
- Familiarity with time-series data, telemetry, or sensor-based datasets
- Working knowledge of NumPy, Pandas, and SciPy
- Ability to communicate technical concepts clearly in written and verbal form
- Strong analytical thinking and problem-solving skills
- Must be a U.S. Citizen
- Ability to obtain and maintain a security clearance
- Preferred: experience applying machine learning to predictive maintenance, health monitoring, or operational analytics on time-series data systems
- Preferred: experience extracting meaningful data from bulk maintenance records
- Preferred: exposure to model deployment concepts, such as batch pipelines, APIs, or edge/embedded environments
- Preferred: familiarity with cloud platforms or big data environments
- Preferred: experience in a government or DoD context
- Preferred: familiarity with the relationship between engine signals and performance
- Preferred: knowledge of Git and collaborative development workflows
Benefits:
- Health benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Basic life with AD&D
- Short term disability
- Long term disability
- Ancillary benefits: voluntary life with AD&D, accident, critical illness, hospital, and pet
- Spending accounts: HSA, FSA, and DCFSA
- Paid time off
- Holidays
- 401(k), including company match
- Tuition reimbursement
- Parental, maternity, and military leaves
- Annual discretionary bonus (for eligible roles)
- Potential annual bonus
Similar Jobs
Senior Health Data Scientist
Senior Health Data Scientist developing advanced analytics from healthcare claims and clinical data. Supporting Inovalon’s data-driven solutions for healthcare customers and patients.
Lead Data Manager
Lead data manager overseeing clinical trial data from database startup through submission. Supporting UBC’s pharmaceutical development and real-world evidence services.
Lead Data Manager
Lead data manager overseeing clinical trial data from database start-up through lock and submission. Supporting pharmaceutical development and real-world evidence projects at UBC.
Data Scientist – AI, ML
Data Scientist designing Bayesian and statistical ML models for Software Mind’s e-commerce platform clients. Productionizing models within microservices and event-driven architectures.
Data Scientist
Data Scientist building Azure AI/ML data infrastructure for Molex’s electronics engineering platform. Structuring simulation data, validating models, and monitoring data health.
Lead Data Scientist
Lead Data Scientist developing policy-adherence metrics and valuation models for Humana’s healthcare and insurance operations. Transforming complex claims-related data into actionable compliance and network insights.
Senior Data Scientist – Machine Learning, AI
Senior Data Scientist developing production machine learning and AI solutions for Team Velocity’s automotive marketing technology. Improving customer engagement, marketing performance, and dealership revenue through predictive analytics.
Data Scientist Mid/Senior – Consulting
Cientista de Dados desenvolvendo modelos estatísticos e de Machine Learning para a WeCogno, consultoria de dados e IA. Gerando insights acionáveis e soluções para decisões de negócio.
Head of Data – AI
Head of Data + AI building reusable data and AI infrastructure for AugmentED. Translating education research into scalable tools that improve learning outcomes.
Program Manager, Data Governance and Stewardship
Data governance lead building frameworks for ReSource Pro’s insurance-industry clients. Improving data quality, privacy, lineage, and responsible analytics and AI use.
Senior Data Scientist
Senior Data Scientist powering product and operational analytics for Flagler Health’s musculoskeletal care platform. Measuring patient journeys, clinical workflows, engagement, and business performance.
Data Scientist II – FCRM Modeling
Data Scientist developing AML/CTF models and AI solutions for TD, a global financial institution. Applying Python, SQL, statistics, and machine learning to financial crime risk analytics.
Data Scientist, NLP, AI Engineer
Data Scientist developing production-ready LLM and generative AI applications for Ford’s enterprise technology organization. Building agentic workflows, evaluation frameworks, and scalable GCP-based machine learning solutions.
Senior Manager, Clinical Product Analytics
Senior Manager leading clinical product analytics for CVS Signify Health’s in-home and virtual evaluations. Guiding metrics, causal inference, coding integrity, and analytics strategy.
Lead Director, Data Science – Clinical AI
Lead Director guiding CVS Health’s production clinical AI strategy across healthcare businesses. Managing data science teams and advancing trustworthy, scalable machine learning using clinical data.
Marketing Strategy & Analytics Lead
Marketing Strategy & Analytics Lead advising Longbridge, a senior home-equity solutions provider. Building predictive models, attribution frameworks, and forecasts to optimize marketing investment and revenue growth.
Senior Data Scientist
Senior Data Scientist using machine learning and predictive modeling to improve team.blue’s digital services for 3.3 million European customers. Building data strategy, pipelines, and actionable insights with business, product, and engineering teams.
Senior Data Scientist
Senior Data Scientist designing geospatial, remote sensing, and environmental modeling workflows for CGS. Turning complex datasets into validated, decision-ready insights for sustainability and public-interest applications.
Cientista de Dados Sr
Cientista de Dados Sr desenvolvendo soluções de IA e modelos preditivos na Spassu. Otimizando produtos e serviços públicos com experimentos, APIs, microsserviços e pipelines de ML.
Senior Director, Research & Analytics Product Sales
Senior Director driving Clarivate’s research and analytics product sales strategy across academic and government markets. Aligning teams, operations, and revenue growth with company-wide objectives.