Job Title:

Data Scientist (1) Location:

Saskatoon Company:

Super GeoAI Technology Inc. Role We are hiring

one Data Scientists

to advance Super GeoAI’s AI-powered agricultural solutions. In this role, you will lead the

collection, labeling, and development of AI training datasets , turning complex geospatial, drone, and agricultural data into insights that fuel next-generation products. You will design and test models, conduct deep analysis, and work closely with AI engineers, software developers, and product managers to ensure our solutions deliver measurable value to farmers, insurers, and the global agriculture sector. Key Responsibilities: Collect, curate, and label datasets

to build high-quality AI training databases. Analyze and preprocess

large, diverse datasets (geospatial, drone imagery, climate, and agricultural data). Develop and validate machine learning and statistical models

to solve real-world problems in agriculture and insurance. Collaborate with AI engineers

to refine and productionize algorithms for scalability and performance. Design experiments and evaluations

to measure model performance, reliability, and field impact. Visualize and communicate findings

to technical and non-technical stakeholders in transparent, actionable ways.



Translate business requirements into data-driven solutions

in collaboration with product managers. Stay up to date with

advances in data science, AI, and geospatial analytics

to keep SGA’s technology at the cutting edge. Qualifications: Bachelor’s or Master’s degree in

Data Science, Computer Science, Statistics, Mathematics, or a related field

(Ph.D. preferred). Proven experience applying

machine learning and statistical techniques

to large, complex datasets. Strong proficiency in

Python

and core data science libraries (NumPy, Pandas, Scikit-learn). Experience with

deep learning frameworks

(TensorFlow, PyTorch) is a strong asset. Familiarity with

geospatial data and GIS tools

(e.g., GDAL, QGIS, ArcGIS) is preferred. Proficiency in

data visualization

(Matplotlib, Seaborn, Plotly, Tableau, or similar). Strong understanding of

data pipelines, feature engineering, and model evaluation metrics . Excellent

problem-solving, analytical, and communication skills . Ability to work

independently and collaboratively

in a fast-paced startup environment.. This isn’t just data analysis—you’ll be transforming raw data into AI-powered insights that redefine the future of agriculture.

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📌 Senior Data Scientist (Winnipeg)
🏢 SGA
📍 Winnipeg