[Hiring] Senior Data Scientist - Computer Vision @Zesty.ai

Role Description

As a Senior Data Scientist specializing in deep learning for computer vision, you will play a pivotal role in our Data Science and Machine Learning team. You will be responsible for training, deploying, and optimizing state-of-the-art deep learning models to tackle challenging computer vision problems. You will scale the development of top-tier models by leveraging diverse data sources, generating valuable insights, and maximizing the impact of our products. You thrive in a collaborative, innovative environment that moves fast and are comfortable establishing structures and processes that drive the company’s success.

• Explore data sources and develop new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
• Research, design, and implement deep learning algorithms and architectures that extract insights from imagery sources such as aerial imagery and geospatial data.
• Lead the development of high-quality datasets for robust model training and evaluation.
• Collaborate closely with cross-functional teams to understand requirements and translate product, engineering, and business constraints and questions into actionable data science problems.
• Coach and provide feedback to members of the Data Science and Machine Learning team, fostering skill development and knowledge sharing.

Qualifications

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

Benefits

• Be part of a well-funded, growth-stage start-up.
• Market-competitive compensation and equity incentives, giving you a stake in our future.
• Comprehensive healthcare plan.
• Flexible time off and fully remote work.
• An upbeat and collaborative work culture.
• Professional development opportunities and support for continued learning and growth.
• Company-sponsored outings and offsites.
• All of your personal information will be kept confidential according to EEO guidelines.