Lead, Geospatial AI & Climate Data Science

DiscoverEE; Toronto; On-site; CAD 130,000 - 170,000; Full time

Job summary

Korotu Technology is seeking a Data Science Lead to guide our geospatial data initiatives and mentor co-op students. You will translate client requirements into technical workflows and own end-to-end lifecycle of data projects on our Aroa platform.

The role blends hands-on modeling with technical leadership, client delivery, and cross-functional collaboration across data scientists, software engineers, designers, and product managers.

Qualifications

• Master’s degree in a quantitative field (e.g., CS, Statistics, Geomatics, Math) or equivalent experience.
• 3+ years of data science or ML experience with geospatial data and remote sensing.
• Proven track record of leading complex data science projects from conception to delivery and client acceptance.
• Experience in leadership/mentorship and guiding junior staff.
• Strong client-facing skills with the ability to translate business problems into technical solutions.
• Expert-level Python and core data science stack (Pandas, NumPy, Scikit-learn, Keras/PyTorch).
• Excellent communication and storytelling skills for diverse audiences.

Responsibilities

• Define and drive the data science vision and roadmap for Korotu, identifying AI opportunities in natural capital.
• Act as the technical authority in client engagements and help win new business.
• Mentor and coordinate data science co-ops, promoting best practices and scalable workflows.
• Lead cross-functional teams to deliver data-driven solutions and guide productization of R&D into repeatable features on Arora.

Skills

Python

Data science

Machine learning

Leadership

Client-facing

Communication

Geospatial data

Remote sensing

Education

Master’s degree in quantitative field

Tools

Pandas

NumPy

Scikit-learn

Keras/PyTorch

Job description

Korotu Technology is seeking a Data Science Lead to guide our geospatial data initiatives and mentor co-op students. You will translate client requirements into technical workflows and own end-to-end lifecycle of data projects on our Aroa platform.

The role blends hands-on modeling with technical leadership, client delivery, and cross-functional collaboration across data scientists, software engineers, designers, and product managers.