Senior Data Scientist specializing in deep learning for computer vision at Zesty.ai. Collaborating on PropertyTech and InsurTech solutions using data science and machine learning.
Responsibilities
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.
Requirements
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
Comprehensive healthcare plan
Flexible time off and fully remote work
Professional development opportunities and support for continued learning and growth
Data Scientist II designing and deploying analytics solutions across cloud platforms for TD. Collaborating with business stakeholders to transform large - scale data into actionable insights.
Principal Data Scientist leading AI innovation for network management at Extreme. Driving long - term data science and ML strategy in a greenfield opportunity.
Geodata Scientist at ALS analyzing geoscience data and applying machine learning for mineral exploration. Collaborating with multidisciplinary teams on predictive modelling and consulting projects.
Senior Data Scientist leading advanced analytics and machine learning solutions within insurance practice. Bridging business objectives and data science execution while ensuring delivery quality.
Senior Data & Trust Partner at TELUS enhancing data governance and AI capabilities. Collaborating with leadership to implement trust strategies and improve organizational design.
Senior Data Scientist leveraging data analytics to drive business value at Sun Life. Collaborating with teams to develop ML products and enhance data - driven decision - making.
Program Manager overseeing master data initiatives at Stanley Black & Decker. Responsible for project execution and stakeholder collaboration to enhance data management processes.
Lead predictive analytics initiatives at the University of Alberta to improve enrolment planning. Focus on advanced data modeling through machine learning and statistical approaches.
AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.