1698 - Data Scientist

Sigma Defense•San Diego, CA

1d•$130,000 - $150,000•Onsite

About The Position

Sigma Defense is seeking a Data Scientist to join our team in San Diego NB, CA. This role involves developing, analyzing, and deploying data-driven solutions, utilizing machine learning and AI, and communicating findings to leadership to gain a competitive advantage. The position requires a Master's degree and the ability to obtain a Top Secret security clearance.

Requirements

5+ years of experience developing, analyzing, or deploying data-driven solutions.
Experience with data analysis, visualization, or decision support tools.
Experience with Python or similar programming languages.
Experience using version control systems (e.g., Git).
5+ years of experience with machine learning or AI enabled systems.
Must be a U.S. citizen.
Candidate must possess or have the ability to obtain an active Top Secret security clearance or higher.

Nice To Haves

NWIC PAC Experience.
Experience in Airborne Networking Domain.
Experience with natural language processing or large language models.
Experience deploying applications in operational environments (afloat/ashore).
Experience with containerized environments (e.g., Docker, Kubernetes, OpenShift).
Experience supporting cybersecurity considerations in software development.
Experience working with DOW or NAVAIR program office.

Responsibilities

Collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure.
Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means.
Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.
Conducts statistical modeling and experiment design, and tests and validates predictive models. Builds web prototypes and performs data visualization.
Conducts scalable data research on and off the cloud. Develops customized algorithms to solve analytical problems with incomplete data sets, and implements automated processes for efficiently producing scale models.
Collaborates with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues. Implement new or enhanced software designed to access and handle data more efficiently.
Trains the data management team on new or updated procedures.
Writes and implements quality procedures.