Senior Data Scientist – Computer Vision

ZestyAI

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.

Posted 7/9/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying deep learning models for computer vision applications, with a strong foundation in machine learning principles and image processing techniques. Proven ability to lead teams, mentor junior members, and collaborate effectively across functions to solve complex data science problems.

Highest-signal resume keywords

Machine Learning TechniquesDeep Learning Model DevelopmentPython ProgrammingCloud Computing PlatformsImage Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningImage ProcessingData PreprocessingModel DeploymentComputer VisionGenerative AI ToolsSQLBigQueryData Science

Soft Skills

Problem-SolvingOrganizational SkillsMentoringCollaborationCommunication

Tools & Technologies

PyTorchTensorFlowOpenCVPillowMatplotlibPlotlyGoogle Cloud PlatformAWSKubernetesDocker

Industry Keywords

PropertyTechInsurTechAerial ImageryGeospatial DataData ScienceMachine LearningDeep LearningAI Principles

Tech Stack

Tools & technologies

AWSBigQueryCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Comprehensive healthcare plan
Flexible time off and fully remote work
Professional development opportunities and support for continued learning and growth
Company-sponsored outings and offsites