Data Scientist (TS/SCI w/ Poly)

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: Senior Data Scientist Job Type: Full-time Location: Onsite, Ft. Meade, MD Clearance Requirements: Active TS/SCI with Polygraph required Work Schedule: 5 days per week onsite Travel Requirements: None Experience: 4+ years WHAT YOU'LL DO SIXGEN supports missions by serving government and commercial organizations as they overcome global cybersecurity challenges. In this position, you’ll provide meaningful support to our customer’s missions and operations. You’ll work alongside a team of highly skilled operators who are dedicated to using innovative processes, tools, and techniques to get things done. KEY RESPONSIBILITIES Develop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts Develop high-performance data parsers for extremely large and complex datasets Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases Collaborate with AI/ML engineers and data s [... source excerpt omitted ...] arity with AI concepts in the context of data storage, access, and retrieval Continuously optimize data infrastructure for performance, cost-efficiency, and scalability REQUIRED QUALIFICATIONS Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala) Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments Proven experience with corporate dataflows and d [... source excerpt omitted ...] ongoDB, Cassandra), and vector databases Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing Active TS/SCI clearance with Polygraph DESIRED QUALIFICATIONS Experience with data governance, data security, and compliance best practices Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Experience with data warehousing concepts and tools Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements COMPENSATION & BENEFITS $180,000-$220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may