Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and assess machine learning models utilizing Python to analyze time-series and telemetry information.

• Conduct data exploration, feature engineering, and preprocessing on both structured and semi-structured datasets.

• Apply natural language processing and probabilistic modeling to extract insights from maintenance records.

• Formulate physics-informed models based on established signal relationships for systems with limited historical data.

• Develop algorithms for anomaly detection, predictive modeling, and trend analysis within operational datasets.

• Assist in model validation, performance assessment, and documentation processes.

• Participate in deploying models into production and embedded settings alongside engineering teams.

• Work together with data visualization and software teams to incorporate model outputs into dashboards and decision-support systems.

• Document methodologies, assumptions, and findings for both technical and non-technical audiences.

• Keep updated with the latest machine learning techniques and implement best practices.

• Provide support for travel or off-site work as necessary.

• Perform additional duties as assigned.

• Assist Department of Defense clients on Predictive Maintenance and Logistics Team initiatives involving ML/AI and cloud infrastructure.

• Collaborate with engineers, data visualization experts, and program leadership to transition analytical solutions from research into operational settings.

⛳️ Requirements

• Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related discipline with 0+ years of experience, or a Bachelor’s degree in a related field with 2+ years of relevant experience, or equivalent experience in place of a degree.

• Proficiency in Python for data analysis and machine learning applications.

• Familiarity with common machine learning libraries such as scikit-learn, PyTorch, TensorFlow, or similar.

• Experience with natural language processing techniques and associated toolchains.

• Understanding of time-series data, telemetry, or sensor-based datasets.

• Working knowledge of NumPy, Pandas, and SciPy.

• Ability to convey technical concepts clearly in both written and verbal formats.

• Strong analytical and problem-solving abilities.

• Must be a U.S. Citizen.

• Capacity to obtain and maintain a security clearance.

• Preferred: experience applying machine learning to predictive maintenance, health monitoring, or operational analytics involving time-series data systems.

• Preferred: experience in extracting valuable data from extensive 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 setting.

• Preferred: understanding of the correlation between engine signals and performance.

• Preferred: knowledge of Git and collaborative development processes.

🏝️ Benefits

• Health benefits.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Basic life insurance with AD&D.

• Short term disability coverage.

• Long term disability coverage.

• Ancillary benefits: voluntary life insurance with AD&D, accident, critical illness, hospital, and pet insurance.

• Spending accounts: HSA, FSA, and DCFSA.

• Paid time off.

• Holidays.

• 401(k) plan, including company match.

• Tuition reimbursement.

• Parental, maternity, and military leave.

• Annual discretionary bonus for eligible roles.

• Potential annual bonus.