Data Scientist

ZestyAI

ZestyAI leverages cutting-edge data science and innovative methodologies to enhance property risk information amid increasing natural disaster challenges. In this role, a Data Scientist will contribute to the Data Science and Machine Learning team, developing high-quality models using varied data sources. The dynamic environment values collaboration and rapid progress, requiring individuals who can establish effective structures and processes.

In this role you can expect to have the responsibilities:

• Explore data sources to develop new models for Property Tech and InsurTech.
• Implement deep learning algorithms to extract insights from aerial and satellite imagery.
• Research and model property risk using various data types.
• Lead dataset development for model training and evaluation.
• Collaborate with cross-functional teams to align data science work with business needs.

This role comes with the following benefits:

• Market competitive compensation and equity incentives.
• Comprehensive health care plan.
• Flexible Time Off.
• Collaborative work culture.
• Professional development and learning opportunities.
• Company-sponsored outings and offsites.

This role requires you to have:

• 2-3 years of experience in machine learning and predictive modeling.
• BA/BS/BEng degree in related field; MS or PhD is a bonus.
• Strong understanding of machine learning, deep learning, and AI.
• Proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow.
• Experience deploying models in production and working with cloud computing.

You would benefit from having:

• Experience with data preprocessing for large-scale image datasets.
• Familiarity with aerial or satellite imagery.
• Version control systems like Git.
• Experience with SQL and BigQuery.

Candidates must be legally eligible to work in Canada.