Remote Data Scientist

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Description:

  • ZestyAI is seeking a Data Scientist to join their Data Science and Machine Learning team.
  • The role involves scaling the development of top-tier models by leveraging diverse data sources and providing valuable insights.
  • Responsibilities include exploring data sources and developing new Property Tech and InsurTech models using data science, including Machine Learning and Deep Learning.
  • The Data Scientist will implement deep learning algorithms and architectures to extract insights from aerial imagery, satellite imagery, and geospatial data.
  • The position requires researching and modeling aspects of property risk utilizing various data sources.
  • The Data Scientist will lead the development of high-quality datasets for robust model training and evaluation.
  • Collaboration with cross-functional teams is essential to understand requirements and translate them into actionable data science questions.

Requirements:

  • Candidates must have at least 2-3 years of experience applying machine learning techniques, particularly in computer vision applications and predictive modeling.
  • A BA, BS, or BEng degree in Math, Physics, Computer Science, Engineering, Economics, or related fields is required; an MS degree or Ph.D. is a bonus.
  • A strong understanding of machine learning, deep learning, and AI principles is necessary.
  • Extensive knowledge and hands-on experience in implementing deep learning and/or machine learning models are required.
  • Experience in deploying predictive or deep learning models in production environments is essential.
  • Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow, as well as related libraries like OpenCV, Pillow, Matplotlib, and Plotly, is required.
  • Understanding of data preprocessing and augmentation techniques for large-scale image datasets is a plus, especially with aerial or satellite imagery.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud Platform, Kubernetes, Docker) is necessary.
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows is required.
  • Experience working with SQL and BigQuery is essential.
  • Candidates must possess excellent problem-solving skills and the ability to work independently and as part of a team in a dynamic environment.
  • Strong organizational and management skills with experience in implementing best practices and processes are required.
  • Strong communication skills are necessary.
  • Candidates must be legally eligible to work in Canada.

Benefits:

  • Employees will be part of a well-funded growth-stage company.
  • The position offers market competitive compensation and equity incentives, providing a stake in the company's future.
  • A comprehensive health care plan is included.
  • Flexible Time Off is offered to promote work-life balance.
  • The company fosters an upbeat and collaborative work culture.
  • Professional development opportunities and support for continued learning and growth are provided.
  • Company-sponsored outings and offsites are part of the benefits package.
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