Senior Data Scientist Security Clearance

Position: Senior Data Scientist with Security Clearance
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
* Senior Data Scientist
* Full Time
* Onsite/Hybrid Preferred The Senior 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. The Senior Data Scientist will work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.

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 5 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.
* Test algorithms against key benchmarks and implement techniques to enhance performance.
* Work with developers, solution architects, and Dev Sec Ops  engineers to incorporate algorithms within software architectures and effectively deploy the algorithms within existing code base.
* Work with engineers to incorporate prototype algorithms into new products, services, and features and provide guidelines for large-scale implementation.
* 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.
* Mentor junior data scientist and coordinate activities to complete key data science tasks
* 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.
* At least 5 plus years of experience in data science or related discipline.
* 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 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…