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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Lyntris Inc - **Location:** Saint Paul, MN, United States (Remote available) - **Experience:** Experienced - **Salary:** $105,849.0 - $126,771.0 - **Contract:** Internship / Graduate position - **Skills:** Clean Code Principles, 3d Models, Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cluster Analysis, Computer Programming, Data Visualization, Relational Databases, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Software Maintenance, RabbitMQ, Recommender Systems, Power BI, Software Tools, Tensorflow, SQL Databases, Data Streaming, Tableau (Software), Technical Data Management Systems, Google Cloud, Pytorch, Grafana, Git, Pandas, Containerization, Scikit Learn, Kubernetes, Information Technology, Real Time Data, Apache Kafka, Stream Processing, Software Version Control, Docker, Confluent - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/141c7af0-45d5-48de-bb51-f564c3bf1656 ## About the Role 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., * 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 Google Cloud Platform) 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%. ## Description 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, * 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. ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! 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