Senior Data Scientist

Note:

This position is contingent upon contract award.

Full Time
Onsite/Hybrid Preferred

The Senior Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for the 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, using a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms to mine large datasets.

They generate and test hypotheses, analyze and interpret the results of product experiments, and create data visualizations, dashboards, and reports to communicate findings. This role will involve applying AI/ML techniques to read and process technical data, including 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, providing guidelines for large‑scale implementation.

The role requires collaboration with other data scientists and software engineers to implement algorithms and provide insights to end users. The ideal candidate has at least five 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.
• 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 them within the 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 scientists 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.
• Perform other duties as assigned.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• At least five 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 skills.
• Excellent problem‑solving and analytical skills.
• Superior written and verbal communication skills.
• Currently holds an active U.S. national security clearance or can receive and maintain one.

• 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…