Senior Data Scientist (Computer Vision)

Join ZestyAI, a company dedicated to improving disaster preparedness through innovative data science and AI. As a Senior Data Scientist specializing in computer vision, you will play a crucial role in developing and optimizing deep learning models to address complex challenges in risk modeling. You will collaborate with cross-functional teams, lead the development of high-quality datasets, and mentor junior team members. Enjoy a range of benefits, including health coverage, stock options, a flexible vacation policy, and opportunities for professional growth.

• Training, deploying, and optimizing state-of-the-art deep learning models to tackle challenging computer vision problems.
• Exploring data sources and developing new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
• Leading the development of high-quality datasets for robust model training and evaluation, and collaborating closely with cross-functional teams.
• Experience working with BigQuery and SQL
• Excellent problem-solving skills and ability to work independently or as part of a team in a dynamic environment
• BA/BS/BEng degree in Math, Physics, Computer Science, Engineering, Economics, or other related fields. MS or PhD is a plus
• Proven ability to mentor and guide junior team members, fostering a collaborative and supportive environment
• Experience using generative AI coding tools such as Claude Code and Cursor
• Experience deploying deep learning models in production environments
• Must be legally eligible to work in Canada
• Understanding of data preprocessing and augmentation techniques for large-scale image datasets (bonus if experienced with aerial or satellite imagery)
• At least 5 years of experience applying machine learning techniques to computer vision applications
• Strong communication skills
• Strong understanding of image processing, machine learning, deep learning, and AI principles
• Familiarity with version control systems (e.g., Git) and collaborative development workflows
• Strong organizational and management skills, with experience implementing best practices and processes
• Proficiency in Python, with experience using deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., OpenCV, Pillow, Matplotlib, Plotly)
• Extensive hands-on experience designing and implementing deep learning models
• Experience working with cloud computing platforms (e.g., Google Cloud Platform, AWS) and containerization/orchestration tools (e.g., Kubernetes, Docker)