Data Scientist - Computer Vision

1d1 day ago

SAS

Cary, US · Full-time · $110,000 – $140,000

About this role

We’re a leader in data and AI, inspiring customers worldwide to transform data into intelligence and questions into answers. The Applied AI & Modeling team is seeking a Data Scientist to advance a multi-phase applied research effort focused on computer vision and machine learning for high-impact real-world problems.

You will design, develop, and evaluate state-of-the-art vision models using modern deep learning techniques such as convolutional models, 3D vision, attention mechanisms, and transformer-based approaches. Your work will involve analyzing model performance with quantitative metrics, identifying failure modes, and iterating on solutions to improve accuracy and scalability.

Collaboration is key as you partner with fellow data scientists, software engineers, and cross-functional partners to integrate models into end-to-end analytical workflows. You will contribute to well-documented, reproducible modeling pipelines and communicate insights, tradeoffs, and results to both technical and non-technical audiences.

This role offers hands-on experience evolving prototypes into robust, scalable solutions in a collaborative environment. You will grow as an applied data scientist, learn how advanced AI systems are developed responsibly, and see your work directly influence the next stage of real-world AI innovation.

Requirements

Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field with a minimum of 3 years of relevant professional experience; or PhD degree in a related quantitative field, with no prior professional work experience required.
Demonstrated experience applying computer vision and machine learning techniques to real-world problems, including tasks such as image analysis, feature extraction, model training, and performance evaluation.
Hands-on experience with at least one modern deep learning or computer vision framework (e.g., Python-based frameworks commonly used for CNN- or vision-based modeling).
Experience working with real-world datasets, including data preparation, model evaluation using quantitative metrics, and result interpretation.
Ability to analyze results, troubleshoot models, and clearly communicate technical findings to both technical and non-technical audiences.

Responsibilities

Design, develop, and evaluate machine learning and computer vision models to solve complex, real-world problems using large and diverse datasets.
Apply and extend modern deep learning techniques such as convolutional models, 3D vision, attention mechanisms, and transformer-based approaches to improve model accuracy, robustness, and scalability.
Analyze model performance using appropriate quantitative metrics, identify failure modes, and iterate on solutions based on experimental findings.
Collaborate with fellow data scientists, software engineers, and cross-functional partners to integrate models into end-to-end analytical workflows.
Contribute to well-documented, reproducible modeling pipelines and clearly communicate insights, tradeoffs, and results to technical and non-technical audiences.
Ensure all applicable security policies and development processes are followed to support the organization’s secure and responsible software development goals.
Embrace curiosity, passion, authenticity, and accountability as guiding values for how we work, learn, and innovate together.

Benefits

Hybrid work flexibility in Cary, North Carolina.
World-class employee experience recognized by Fast Company, Forbes, and Newsweek.
Inclusive, meaningful culture that values curiosity, passion, authenticity, and accountability.