Data Scientist Senior

Mclean, VA Contract Aug 19, 2026 Data Scientist Senior -

Required Qualifications

• Computer Vision Coding & Software Engineering

o Hands-on experience coding computer vision or image-processing solutions using

Python and common libraries such as OpenCV, Pillow, PyTorch, TensorFlow, or

similar frameworks

o Strong ability to process image files, extracted labels, model predictions,

confidence scores, annotations, bounding boxes, and metadata payloads

o Experience writing modular, maintainable code for automation, validation,

transformation, testing, and troubleshooting

• Data Engineering & Semi-Structured Data

o Strong SQL and Python skills for working with relational data, semi-structured data,

JSON, API outputs, and analytical datasets

o Experience preparing model outputs for downstream systems using JSON, Variant-

style data structures, metadata files, or similar formats

o Ability to design validation logic, reconciliation checks, and data quality rules for

image-derived outputs

• Testing, Debugging & Quality Validation

o Experience testing model-output pipelines, identifying defects, analyzing root

causes, documenting issues, and supporting retesting after remediation

o Ability to create representative test datasets and compare expected versus actual

computer vision output across runs

o Experience validating extracted image outputs against source PDFs, appraisal

documents, supporting files, and other ground-truth reference materials

o Strong analytical skills to detect anomalies, data gaps, misclassifications, format

issues, and model-output inconsistencies

• Product, UI & Workflow Collaboration

o Experience working with product and engineering teams to support user-facing

applications, QC workflows, review screens, or operational tools

o Ability to translate technical model-output structures into practical user, data, and

system requirements

o Strong collaboration, communication, ownership, and delivery execution skills in a

fast-paced technical environment

Preferred Qualifications

• Experience with appraisal images, property photos, mortgage data, or other

document/image-heavy business processes

• Familiarity with image extraction, object detection, classification, OCR, metadata

extraction, or computer vision evaluation techniques

• Experience comparing extracted image content and metadata back to source documents to

support auditability, traceability, and quality control

• Exposure to Snowflake Variant, JSON analytics pipelines, data lake patterns, or research

data environments

• Experience supporting Freddie Mac, Fannie Mae, GSE, financial services, housing, or

appraisal-related technology initiatives

• Familiarity with UAD, appraisal modernization, model validation, or AI-enabled quality

control workflows