Remote Otter LogoRemoteOtter

Data Scientist - Remote

Posted 17 weeks ago
Data Analysis
Full Time
Worldwide
170,000 CAD/year

Overview

An overview paragraph about the job

In Short

  • Design, build, and deploy machine learning models to predict lightning events and assess fire risk.
  • Work with diverse data sources, including weather data, satellite imagery, and historical fire records.
  • Develop and maintain pipelines for real-time data streaming, analysis, and alerting.
  • Collaborate with scientists, engineers, and leadership to refine models and develop strategies.
  • Present complex data findings to both technical and non-technical stakeholders.

Requirements

  • 5+ years in data science, focusing on environmental or geospatial data.
  • Strong skills in Python or R, with experience in machine learning frameworks.
  • Proficiency with geospatial analysis and satellite imagery processing.
  • Familiarity with numerical atmospheric models.
  • Experience with large datasets and cloud-based data platforms.
  • Strong motivation to use data science for social and environmental good.

Benefits

  • Be part of something groundbreaking and advance novel technology.
  • Contribute to an emerging area of research with untapped potential.
  • Join a team that values curiosity, impact, and innovation.
hireVouch logo

hireVouch

hireVouch is an innovative early-stage startup founded in 2024, dedicated to revolutionizing wildfire prevention through advanced technology. By utilizing cutting-edge geospatial data analysis, machine learning, and computer vision, the company aims to predict and prevent lightning-induced wildfires, which account for a significant portion of wildfires in Canada. Their pioneering approach focuses on reducing wildfire occurrences and emissions by suppressing lightning strikes before they ignite fires. hireVouch offers a unique opportunity for professionals to contribute to a critical area of environmental research, developing sophisticated models that drive proactive wildfire prevention strategies.

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