Data Scientist

Overview

We are seeking a Data Scientist to support National Geospatial-Intelligence Agency (NGA) Artificial Intelligence (AI) efforts. This data scientist will play an important role helping to create technical solutions for multiple AI challenges.

TekSynap is a fast-growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment. “Technology moving at the speed of thought” embodies these principles – the need to nimbly utilize the best that information technology offers to meet the business needs of our Federal Government customers.

We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays.

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The safety and health of our employees is of the utmost importance. Employees are required to comply with any contractually mandated Federal COVID-19 requirements.

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Responsibilities

• Design, curate, and maintain large-scale datasets for model training, validation, and simulation – including overhead imagery and multi-modal intelligence data.
• Generate synthetic data to address data gaps, class imbalance, and rare-event scenarios, using data augmentation, simulation frameworks, and generative models.
• Establish data versioning, lineage, and metadata standards in alignment with NGA CORE environment requirements.
• Develop and operationalize quantitative metrics for data drift, concept drift, and model bias/fairness across demographic, spatial, and temporal dimensions.
• Build automated pipelines to monitor data/model drift over time and trigger alerts or retraining workflows.
• Design scorecards and dashboards visualizing key metrics for stakeholders, supporting model governance and development processes.
• Simulate rare, mission-critical events to evaluate model robustness under low-probability/high-impact conditions.
• Develop evaluation datasets and synthetic test suites to stress-test agentic workflows and validate reliability thresholds.
• Collaborate with AI/ML engineers to feed simulation results into model tuning, retraining, and orchestration strategies.
• Work with engineer and analyst teams to provide curated datasets, fairness/drift assessments, and data-driven insights to guide model deployment and refinement.
• Support generation of explainability artifacts (feature importance, confidence scores, model cards) to meet compliance and transparency requirements.

Qualifications

• Hands-on experience (3+ years) in applied data science and ML workflows.
• Proficiency in Python and core data/ML libraries (pandas, scikit-learn, TensorFlow/PyTorch).
• Experience curating datasets, building automated data quality pipelines, and developing statistical/ML-based metrics.
• Solid understanding of data drift, bias/fairness evaluation, and responsible AI practices.
• Ability to design controlled experiments and analyze large, high-dimensional datasets.

Desired Qualifications

• Experience working with:
  • Geospatial or imagery data and NGA analytical tradecraft.
  • NGA CORE environment or similar secure government cloud platforms.
• Familiarity with agentic AI environments, simulation-based testing, and closed-loop model validation frameworks.
• Active TS/SCI clearance (or eligibility to obtain one).

Work Environment and Travel

• Location: Reston, VA and/or remote. Occasional travel within the National Capital Region (NCR).
• Type of environment: Varies
• Noise level: Low
• Work schedule: 8 hours/day, 40 hours/week, standard hours , Monday-Friday, may include evenings/weekends to meet program needs.
• Travel: 10%

Work Authorization / Security Clearance

U.S. Citizenship required. Clearance requirement: eligibility to obtain TS/SCI.

Other Information

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Duties may change at any time with or without notice.

TekSynap is a drug-free workplace. We may conduct drug testing in accordance with federal, state, and local laws. All employees and candidates may be subject to drug screening if deemed necessary to ensure a safe and compliant working environment.

Equal Employment Opportunity

TekSynap provides equal employment opportunities and does not discriminate based on race, color, creed, religion, sex, national origin, disability, age, genetic information, or other protected characteristics. For accommodations in the application process, contact

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