Data Scientist (TS/SCI w/ Poly)

Columbia, MDRemoteusvia direct

// Job Type

Full Time

// Salary

USD 180,000 - 220,000/year

// Salary Range

180,000–220,000 USD / year

// Posted

1 week ago

// Work Mode

remote

About the Role

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 <ul> <li style="font-weight: 400;">Position: Senior Data Scientist</li> <li style="font-weight: 400;">Job Type: Full Time</li> <li style="font-weight: 400;">Location: Onsite </li> <li style="font-weight: 400;">Clearance Requirements: TS/SCI & Poly (MUST HAVE)</li> <li style="font-weight: 400;">Years of experience: 4+</li> </ul> ABOUT THE TEAM 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.  <ul> <li style="font-weight: 400;">Key Responsibilities </li> <ul> <li style="font-weight: 400;">Develop, and maintain robust and scalable data pipelines for enterprise AI applications including </li> <li style="font-weight: 400;">defining appropriate data model concepts</li> <li style="font-weight: 400;">Develop high-performance data parsers for extremely large and complex datasets </li> <li style="font-weight: 400;">Implement and manage various database systems, including graph, SQL, NoSQL, and vector </li> <li style="font-weight: 400;">databases </li> <li style="font-weight: 400;">Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize </li> <li style="font-weight: 400;">data access and retrieval for AI models </li> <li style="font-weight: 400;">Ensure data quality, integrity, and security across all data storage solutions </li> <li style="font-weight: 400;">Support the deployment and maintenance of AI applications by providing expert data engineering </li> <li style="font-weight: 400;">capabilities </li> <li style="font-weight: 400;">Familiarity with AI concepts in the context of data storage, access, and retrieval </li> <li style="font-weight: 400;">Continuously optimize data infrastructure for performance, cost-efficiency, and scalability </li> </ul> <li style="font-weight: 400;">Required Qualifications </li> <ul> <li style="font-weight: 400;">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 </li> <li style="font-weight: 400;">Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, </li> <li style="font-weight: 400;">Java, Scala) </li> <li style="font-weight: 400;">Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale </li> <li style="font-weight: 400;">enterprise environments </li> <li style="font-weight: 400;">Proven experience with corporate dataflows and developing data parsers for extremely large datasets </li> <li style="font-weight: 400;">Extensive experience with various database technologies including graph databases (e.g., Neo4j), </li> <li style="font-weight: 400;">SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and </li> <li style="font-weight: 400;">vector databases </li> <li style="font-weight: 400;">Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing </li> <li style="font-weight: 400;">Active TS/SCI clearance with Polygraph</li> </ul> <li style="font-weight: 400;">Desired Qualifications </li> <ul> <li style="font-weight: 400;">Experience with data governance, data security, and compliance best practices </li> <li style="font-weight: 400;">Familiarity with big data technologies such as Hadoop, Spark, or Kafka. </li> <li style="font-weight: 400;">Experience with data warehousing concepts and tools </li> <li style="font-weight: 400;">Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements </li> </ul> </ul> 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 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. Additionally, SIXGEN offers top-tier benefits for full-time employees, including: <ul> <li style="font-weight: 400;">Employer-paid health insurance premiums (medical, dental, vision) for you and your family </li> <li style="font-weight: 400;">Employer-paid short/long term disability insurance and basic life/AD&D insurance</li> <li style="font-weight: 400;">401K with a 4% employer contribution</li> <li style="font-weight: 400;">Professional development reimbursement options available (training, certification, education, etc)</li> <li style="font-weight: 400;">Flexible and remote work policies for most positions</li> <li style="font-weight: 400;">Flexible PTO and holiday schedule</li> </ul> OUR COMMITMENT SIXGEN is an Equal Opportunity Employer. We ensure that all applicants are considered for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class. We are committed to fostering an inclusive culture that values diversity in our people, reflecting the communities we serve and our customer base. We strive to attract and retain a diverse talent pool and create an environment where everyone is empowered to be their authentic selves at work.

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