Senior Data Scientist – Computer Vision

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ZestyAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

💰 Debt Financing on 2022-07

Artificial Intelligence • Insurance

ZestyAI is a company that leverages artificial intelligence to deliver risk insights for the insurance industry, transforming risk assessment and management practices. Their AI-powered solutions provide peril-specific risk models for natural disasters such as wildfires, severe storms, hail, and wind, as well as property insights covering aspects like roof age and location data. ZestyAI's offerings are trusted by leading insurers across North America, such as Amica Insurance and the California Fair Plan, to improve underwriting and pricing strategies. By providing regulator-approved insights, ZestyAI helps insurers make smarter decisions to enhance property risk management and foster stronger communities.

📋 Description

• 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 • Company-sponsored outings and offsites