Data Scientist

Note: This position is contingent upon contract award.

Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.

Lyntris supports U.S. and allied defense organizations across every branch — including Navy, Army, Air Force, Space Force and allied partners — spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.

Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle — with integrated design, build and test capabilities in-house — and delivers systems that sustain and endure long after initial fielding.

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

The Pay Range For This Role Is

105,849 - 126,771 USD per year (St. Paul, MN)