Data Scientist

Data Scientist (Fairfax, VA)

Do you want to be part of a team that contributes to our nation’s defense while implementing cutting-edge aerospace technology solutions? At Trident Systems, you could be a part of a team delivering world-class technology solutions that make a difference in the world we live in today. We have customers in both federal and commercial markets around the world and provide leading-edge technology solutions in some of the most demanding environments. Trident offers a fast-paced, agile, team-oriented work environment with an exceptional compensation package.

ROLE:

The Data Scientist will work alongside existing Condition Based Maintenance (CBM) personnel to support data collection, review, and analysis, as well as working with to implement relevant algorithms and Machine Learning (ML)/Artificial Intelligence (AI) models to achieve project goals. This role will involve collecting data with existing tools, reviewing data collected and stored, identifying trends and algorithms for predictive and diagnostic health classification, and developing/recommending ML/AI approaches. Data Analytics work will be performed on streaming sensor data including accelerometers, voltage/current sensors, communications bus messages, and other relevant data points, including both synchronous and asynchronous data points. The Data Scientist will be an integral part to Trident's established CBM team using a variety of tools to guide Trident's development of health monitoring solutions.

ESSENTIAL FUNCTIONS:

• Collect, review, and analyze data from sensors and platform interfaces in real-time and within aggregated data repositories.
• Identify trends and methods to provide predictive analytics for target systems and platforms.
• Create ML/AI models to support predictive analytics.
• Collaborate with software team members to support the final implementation of the models.
• Document algorithms and models for design reviews and future use cases.
• Minimal travel to support meetings with customers for data collection and program review.
• Work under the direction of the Engineering Group Director and Project Manager.
• Work as part of a fast-paced team on multiple projects.

KNOWLEDGE, SKILLS, & ABILITIES:

• Bachelor's degree in Physics, Computer Science, Computer Engineering, Software Engineering, or related field from an accredited college or university
• Experience working with ML/AI frameworks and packages such as TensorFlow, PyTorch, or others
• Experience reviewing bulk data through standard tools
• Exposure to scripting languages such as Python or R to import, parse, analyze, and store data
• Keen interest in finding trends and making sense of complex data sets.
• Organizational skills, both with physical workspace and electronic data.
• Strong communication skills, both verbal and written
• Strong team player

Preferred Experience:

• Experience with reliability centered maintenance (RCM)
• Experience with relevant models for time-series health analysis including: LSTM, Deep Learning, Kalman Filtering, fault detection, anomaly detection, remaining useful life, and/or time-frequency analysis.

U.S. Citizenship required.

PREFERRED EXPERIENCE:

• Master's degree in Machine Learning, Statistics, or related discipline
• Experience with software development life-cycles
• Proven expertise interacting with customers and other contractors

Full vaccination against COVID-19, and compliance with the Company’s vaccination verification procedures, is required for this position, subject to the Company’s obligation to consider and approve reasonable accommodations in compliance with applicable law.

EEO Statement: All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability, race, national origin, color, religion, sex, gender identity, or sexual orientation. Trident Systems Incorporated is an Equal Opportunity Employer of protected Veterans and a VEVRAA Federal Contractor. Trident Systems has a desire for priority referrals of protected Veterans. http://www.tridsys.com/pdfs/eeo-post.pdf.