Collaborate closely with software engineers, analysts, and other data scientists to understand data requirements and deliver robust, integrated solutions. Architect and develop custom, maintainable data science solutions from the ground up. Write and maintain tests and documentation for data architecture, workflows, and processes. Champion software engineering best practices within the data domain, including comprehensive unit/integration testing, CI/CD automation (Git, Docker), and robust documentation. Tune and optimize complex algorithms within our on-premise infrastructure. Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 5 years of relevant experience, OR Master of Science degree in relevant fields with 3 years of relevant experience. Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.) Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company. Active In Scope Top Secret Clearance required to start. Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 8 years of relevant experience, OR Master of Science degree in relevant fields with 6 years of relevant experience, OR PhD/Doctorate degree in relevant fields with 4 years of relevant experience. Deep understanding of Machine Learning and Deep Learning Recent professional experience in software development and/or data engineering. Strong programming skills in Python and SQL. Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.) Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company. Active In Scope Top Secret Clearance required to start. Master's degree or higher, in Data Science or related discipline. 7 years of experience in software development. Experience with C/C++. Experience with machine learning pipelines and data science workflows. Familiarity with SQL Alchemy, Numpy, Pandas, SKLearn, PyTorch. Ability to troubleshoot and optimize complex data queries and workflows. Familiarity with big data concepts, machine learning pipelines, and MLOps. Excellent problem-solving skills with the ability to troubleshoot and optimize across the entire data stack. Ability to work in a fast-paced environment.