Data Scientist

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.

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.
• Current possession of an active U.S. national security clearance or ability to obtain 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.