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.

Requirements

: Active TS/SCI with Polygraph required Work Schedule: 5 days per week onsite Travel

: None Experience: 4+ years

and optimize data access and retrieval for AI models Ensure data quality, integrity, and security across all data storage solutions Support the deployment and maintenance of AI applications by providing expert data engineering capabilities Familiarity with AI concepts in the context of data storage, access, and retrieval Continuously optimize data infrastructure for performance, cost-efficiency, and scalability

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 scientists to understand data

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 developing data parsers for extremely large datasets Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, 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.

COMPENSATION

factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role.

BENEFITS

$180,000-$220,000 USD The salary range for this role is an estimate based on a wide range of

for full-time employees, including: Employer-paid health insurance premiums (medical, dental, vision) for you and your family Employer-paid short/long term disability insurance and basic life/AD D insurance 401K with a 4% employer contribution Professional development reimbursement options available (training, certification, education, etc) Flexible and remote work policies for most positions Flexible PTO and holiday schedule OUR COMMITM

Data Scientist (TS/SCI w/ Poly)