Data Scientist (TS/SCI w/ Poly)
ExternalPrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
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 requirements 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
- 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
Requirements
- 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
- 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 COMMITMENT
- 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.
Benefits
Additional Information
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
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at sixgeninc? Share your experience