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
