Hybrid Data Scientist - Computer Vision & AI

Unissant; Ashburn (GA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Unissant, Inc. seeks a Data Scientist to join our team in Ashburn, VA, focusing on image-analysis, computer vision, and predictive modeling. You will work with image, biometric, and transactional datasets to build, evaluate, and deploy models in an Agile setting.

The role requires hands-on data science experience, strong Python and ML library skills, and ability to communicate insights to technical and non-technical stakeholders. Hybrid work in Ashburn area offered.

Qualifications

• Two or more years of experience in data science, computer vision, or related analytics.
• Experience with building trainable image-analysis models for CV tasks.
• Proficiency in Python and ML libraries for CV tasks.
• Knowledge of biometric technologies and identity verification is a plus.
• StrongSQL and data preparation for analysis and modeling.

Responsibilities

• Perform hands-on data analysis to support image-analysis and predictive models.
• Extract, clean, label, and interpret image, biometric, and transactional data.
• Apply CV, statistical, and ML techniques to design and deploy models.
• Explore modeling tools and languages to identify high-performing approaches.
• Collaborate within an Agile development team.

Skills

Python

SQL

Pytorch

TensorFlow

OpenCV

scikit-learn

Keras

Image analysis

Machine learning

Biometrics

Computer vision

Java

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Data Science, AI, Computer Vision

Advanced degree preferred

Tools

PyTorch

TensorFlow

Keras

OpenCV

scikit-learn

YOLO

Detectron

Jupyter

Job description

Unissant, Inc. seeks a Data Scientist to join our team in Ashburn, VA, focusing on image-analysis, computer vision, and predictive modeling. You will work with image, biometric, and transactional datasets to build, evaluate, and deploy models in an Agile setting.

The role requires hands-on data science experience, strong Python and ML library skills, and ability to communicate insights to technical and non-technical stakeholders. Hybrid work in Ashburn area offered.