Data Scientist

Role: Data Scientist Duration: 12-24 months Location: Onsite- Springfield, VA Mode of Interview: 1st round with FRDA HR Director and PM overseeing this contract. 2nd round with their DoD customer Required: • Active TS/SCI clearance • Bachelor's degree in Mathematics, Data Science, Computer Science, Engineering, or related field • 4+ years of data science, machine learning, or analytics experience • Strong mathematics/statistics foundation • Proficiency with Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git. • Experience in building end-to-end analytic solutions—from data ingestion to deployment—and data visualization tools. • Exposure to signal processing, computer vision, or geospatial analytics projects. Job Description: We are seeking a Data Scientist to join a multidisciplinary team to develop analytic capabilities, capture workflows, design predictive models, and develop business processes for real-world mission challenges. This role supports defense, intelligence, and federal clients by building machine learning models, data pipelines, and APIs to determine information values, trends, patterns, and relationships—particularly in signal, image, and geospatial domains—and working with structured and unstructured data to generate insights for operations or strategic decision-making. This role is ideal for someone with a strong interest in high-impact, mission-focused work in a fast-paced DOD environment. Preferred Qualifications: • Master’s degree or certifications in data engineering, machine learning, or related areas. • Familiarity with FastAPI, Python, JavaScript Application Programming Interface (API), Docker, Visual Studio (VS) Code, Jupyter, GitLab, Git, cloud services (e.g., AWS, Azure), and REST APIs. • Software engineering and/or application development to support automating processes, dashboards, and workflows. • Experience supporting national security, defense, or intelligence community use cases. • Exposure to edge-AI environments or low-latency ML deployments. • Background in Agile environments with rapid prototyping capabilities. Responsibilities • Design, build, and maintain robust data pipelines for structured and unstructured data. • Accurately determine the feasibility of aggregating, transporting, storing, and safeguarding the data. • Develop and deploy Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision algorithms and models for signal processing, geospatial analytics, object detection, anomaly detection, and to enable prediction. • Analyze data to identify insights that can be gleaned from the data by determining information values, trends, patterns, and relationships within the data. • Clean, process, and format raw data into actionable, mission-ready outputs. • Support edge-computing constraints and adapt models to operate in austere or bandwidth-constrained settings. • Work within modern development stacks including Python, JavaScript Application Programming Interface (API), Docker, Visual Studio (VS) Code, Jupyter, GitLab, Git, and Continuous Integration/Continuous Delivery (CI/CD) pipelines. • Collaborate with analysts, engineers, and mission leads to prototype and iterate on solutions rapidly.