Senior Data Scientist with Security Clearance

Gormat is seeking a candidate who possesses and applies a comprehensive knowledge across key tasks and high impact assignments. The ideal candidate is able to plan and lead major technology assignments, evaluate performance results, and recommend major changes affecting short-term project growth and success. The candidate will function as a technical expert across multiple project assignments and may supervise others. Position Description * 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 What Required Skills You'll Bring: * 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 What Desired Skills You'll Bring: * 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 * Understanding of machine learning concepts and their implications for data infrastructure * Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams * Ability to translate complex data requirements into actionable engineering solutions TS/SCI with polygraph is required.