Intezra Inc. is a highly technical start-up that specializes in cyber development and engineering from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for our clients most critical missions for over 15 years.
Intezra Inc. is seeking a Data Scientist to join our collaborative team to build an entirely new graph analysis platform that, for the first time, will allow our mission customers to visualize, analyze, and traverse their expansive and complex mission data in graph format and in near-real-time. Your responsibilities will center around enhancing our graph data capabilities—designing, modeling, and optimizing complex graph
structures and crafting performant database queries.
Responsibilities:
- Develop and refine graph data models to accommodate new data sources and fulfill
customer-driven feature requests. - Design and optimize graph queries, with an expectation to learn and utilize Cypher for
Neo4j. - Build and maintain data parsers in Python, ensuring reliable data ingestion.
- Validate and analyze mission data to confirm accuracy, integrity, and optimal
performance. - Collaborate closely with analysts to understand and translate analytical requirements
into practical graph-based solutions. - Work alongside software developers to integrate efficient queries and data parsers into
robust software components. - Maintain clear, comprehensive documentation of graph schemas, data models, and
related processes using tools such as Confluence. - Engage directly with customers to understand operational challenges and propose
effective technical solutions.
Skills Requirements:
- Active TS/SCI with Polygraph
- Experience or interest in graph databases, such as Neo4j, with a willingness to learn
specific tools like Cypher. - Strong Python programming skills, specifically for writing and maintaining data parsing
scripts. - Proven ability to translate customer requirements into implementable data-driven
solutions. - Excellent communication and interpersonal skills for effective collaboration with diverse
stakeholders. - Strong analytical thinking and problem-solving abilities.
Preferred Experience:
- Previous experience with Neo4j or other graph databases.
- Knowledge of TCP/IP networking concepts.
- Understanding of graph theory and algorithms.
- Familiarity with real-time data processing or streaming analytics.
- Experience with containerization technologies (Docker, Kubernetes).
- Understanding of ETL processes for large, complex datasets.
- Familiarity with SIGINT collection and analysis systems or similar mission environments.
Salary at Intezra is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $210,000 - $260,000 (annualized USD).
Benefits Overview:
At Intezra, Inc., we offer a well rounded benefits package to give our employees peace of mind and freedom of choice.
- Three Carefirst medical plans available. Intezrapays up to 100% healthcare premium and up to 100% of the deductible amount depending on plan selection for employee and their dependents.
- Intezra pays 100% for Carefirst Dental and Vision plans for employees and their dependents
- 401k: 15% company contribution (no match required)
- PTO160 hours, increases with seniority
- 12Floating Holidays
- 4 Code Red Days
Intezra Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. #J-18808-Ljbffr