Data Scientist

Note: This position is contingent upon contract award.

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, SoarTech, 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.  

Job Description 

• Data Scientist

• 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.

Duties & Responsibilities 

• 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.

• Performs other duties as assigned. 

Required Qualifications 

• 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, will consider advanced degree in lieu of years of experience.
• Experience analyzing system performance data and time series data.
• Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.).
• Strong background in statistical analysis, forecasting techniques, and anomaly detection
• Experience with SQL and relational databases.
• Knowledge of data visualization tools for creating operational dashboards (Tableau, Power BI, Grafana, or similar).
• Understanding of machine learning fundamentals with a willingness to expand AI/ML implementation skills.
• Excellent problem-solving and analytical skills.
• Superior written and verbal communication skills.

• Currently holds an active U.S. national security clearance or be able to receive and maintain one. 

Preferred Qualifications

• Experience working with CAD models and other technical data sets
• Experience researching, developing, and implementing machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems
• Familiarity with stream processing of real-time data
• Knowledge of cloud platforms (AWS, Azure, or GCP) and their monitoring services
• Experience with ML frameworks (TensorFlow, PyTorch, or similar)
• Familiarity with version control systems (Git)
• Experience with containerization and orchestration tools (Docker, Kubernetes)
• Exposure to data streaming applications (Confluent, Kafka, RabbitMQ, or similar)
• In-depth understanding of the aerospace and defense industry.

Physical Requirements 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to lift up to 15 pounds at times. 
• This position is hybrid located in St. Paul, MN.
• Fully remote candidates may be considered with increased expectation for travel.
• This position may require the ability to travel up to 5%.

Work Environment  

Hybrid work arrangements are strongly preferred for this role to support regular in-person collaboration with program and project teams. Fully remote candidates may still be considered; however, remote employees should expect increased travel requirements to support onsite team engagement. Employees may telework on designated days or as needed with supervisor approval, provided they maintain established communication expectations and effectively meet job responsibilities. Travel may be required 1–2 times per month to customer sites, subcontractor locations, and other company offices.

Clearance Requirements 

Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. 

Pay Scales & Benefits 

The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. 

Benefits include… 

Paid Time Off 

Paid Company Holidays 

Medical, Dental & Vision Insurance 

Optional HSA and FSA 

Base and Voluntary Life Insurance 

Short Term & Long-Term Disability Insurance 

401k Matching 

Employee Assistance Program