Data Scientist

Company Overview

Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what's happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.

For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.

Accelint brings together the talents of Hypergiant, Forward Slope, Systems Innovation Engineering, Soar Tech, and Highbury Defense Group under one mission, with each entity contributing deep expertise in its domain. This role is part of our Systems Innovation Engineering (SIE) division, which specializes in readiness and logistics, autonomous platforms, and sensor technologies. SIE develops resilient, integrated systems that enhance situational awareness, sustain mission readiness, and deliver reliable performance across air, ground, and maritime environments.

Note:
This position is contingent upon contract award.

Full Time, Onsite/Hybrid Preferred.

The Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for software and edge solutions team. This role focuses on developing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will apply knowledge of statistics, machine learning, programming, and data modeling. They use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms to mine the stores of big data.

They generate and test hypotheses and analyze and interpret the results of product experiments. Create data visualizations, dashboards, and reports to communicate findings. This role will involve applying AI/ML techniques to read and process technical data to include CAD models for ingestion into enterprise systems. This role will require collaboration with other data scientists and software engineers to implement algorithms and provide insights to end users.

The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross‑functional teams.

• Lead the design, development, and implementation of statistical techniques and algorithms.
• Write clean, maintainable, and efficient code, and ensure best practices in coding standards.
• Research and identify areas for applications of AI/ML in support of the program.
• Work with the development team and government teams to align AI/ML efforts.
• Prepare and maintain comprehensive technical documentation related to algorithm development.
• Ensure accuracy and completeness of all documentation.
• Foster effective collaboration with cross‑functional teams to achieve project objectives.
• Communicate complex technical information clearly and effectively.
• Utilize advanced software development tools and methodologies to support project requirements.
• Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy.
• Perform other duties as assigned.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field; advanced degree, relevant internship experience, or equivalent hands‑on industry experience may be considered in lieu of traditional qualifications.
• At least 2 years of experience in data science or related discipline, potentially substituting an advanced degree for years of experience.
• Experience analyzing system performance data and time series data.
• Proficiency in Python and its data science libraries (Pandas, Num Py, Scikit‑learn, etc.).
• Strong background in…