Senior Data Scientist

Endictus•Columbia, MD

About The Position

Endictus Corporation is seeking a Senior Data Scientist to support mission-critical programs at Fort Meade. This role is ideal for an experienced data engineering and AI professional who enjoys building scalable data solutions that power advanced analytics and artificial intelligence capabilities. The successful candidate will design and optimize enterprise data pipelines, develop high-performance data parsers, manage complex data architectures, and improve the infrastructure that enables AI and machine learning solutions. This position requires a highly technical individual with expertise across modern data engineering technologies, cloud environments, and multiple database platforms who can collaborate with cross-functional teams to solve complex data challenges.

Requirements

Active TS/SCI clearance with Polygraph.
Bachelor's degree in Computer Science, Information Assurance, Information Systems Engineering, Software Engineering, or a related technical discipline from an accredited college or university.
Bachelor's degree with 8 years of relevant experience, Master's degree with 5 years of experience, or an additional 4 years of directly related experience in lieu of a degree.
Advanced programming experience using Python, Java, Scala, or similar languages.
Extensive experience designing, developing, and optimizing enterprise-scale data pipelines.
Experience developing data parsers and processing extremely large datasets.
Experience with graph databases such as Neo4j.
Experience with relational databases including PostgreSQL and MySQL.
Experience with NoSQL databases such as MongoDB or Cassandra.
Experience working with vector databases supporting AI applications.
Experience with cloud platforms including AWS and Microsoft Azure.
Strong understanding of data architecture, performance optimization, and enterprise data management.
Experience supporting software development efforts related to Computer Network Operations, cloud development, or similar mission environments.

Nice To Haves

Experience with Hadoop, Spark, Kafka, or other big data technologies.
Experience with enterprise data warehousing solutions.
Knowledge of data governance, cybersecurity, and compliance best practices.
Understanding of machine learning concepts and AI data infrastructure.
Experience optimizing infrastructure for AI and large language model applications.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Ability to collaborate effectively with multidisciplinary technical teams.
Passion for continuous learning and emerging AI and data engineering technologies.

Responsibilities

Design, develop, and optimize scalable enterprise data pipelines supporting AI and advanced analytics initiatives.
Build and maintain high-performance data parsers capable of processing extremely large datasets.
Develop and manage data architectures utilizing graph, relational, NoSQL, and vector databases.
Optimize data storage, retrieval, and access strategies to improve AI model performance and efficiency.
Ensure data quality, integrity, consistency, and reliability across enterprise data environments.
Support AI and machine learning initiatives by developing robust data infrastructure and engineering solutions.
Implement best practices for data governance, security, compliance, and lifecycle management.
Design and optimize cloud-based data solutions using AWS and Microsoft Azure services.
Work with cross-functional engineering, analytics, and mission teams to translate complex requirements into scalable technical solutions.
Evaluate and implement emerging technologies to improve data engineering capabilities and infrastructure performance.
Support enterprise data warehousing, integration, and large-scale data processing initiatives.
Document technical designs, processes, and engineering solutions.

Benefits

Paid time off accrued at 6.33 hours per semi-monthly pay period (19 days/152 hours annually during the first two years)
12 paid holidays that can be used as floating holidays throughout the year (11 Federal holidays plus one birthday holiday)
Compensatory Time and Flex Time (when authorized)
100% employer-paid health insurance premium, or a prorated annual stipend of up to $5,000 if you opt out of the health plan
100% employer-paid dental insurance
100% employer-paid vision insurance
100% employer-paid short-term disability insurance
100% employer-paid long-term disability insurance
Life insurance (currently 2x annual salary, up to $300,000)
401(k) with employer match of up to 100% of the first 10% contributed
$500 annual business attire stipend
$500 annual fitness reimbursement
$1,500 annual technology reimbursement
$1,500 annual professional development and certification reimbursement
$5,000 adoption assistance
Employee referral bonuses: $1,000 after 30 days for each qualified referral who is hired, $2,000 after six months for each referred employee retained beyond six months, Unlimited referral opportunities
Paid maternity and paternity leave
Company-provided laptop and mobile phone (when telework is required), including all necessary work software
Opportunity to earn up to half of the company's profit rate (approximately 2–3.5%) or a bonus for new business you bring in and oversee