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Senior data scientist

Trigyn Technologies
Data Scientist
Publiée le Publiée il y a 13 h
Description de l'offre

Trigyn has a contractual opportunity for a Data Scientist. This resource will be working Remotely as per Central European Time Zone.


Job Description:


• Data Analysis and Modeling: Conduct data collection, exploratory analysis, and develop statistical models and machine learning algorithms to generate insights supporting evidence-based decision-making for urban development.

• Geospatial Analysis: Perform spatial data analysis and work with geographic information systems (GIS) to address location-specific urban planning and development needs.



Competencies:

• Deep Learning: At least 3 years of experience applying deep learning to computer vision problems, particularly in remote sensing or geospatial applications

• Technical Stack: Proficiency in PyTorch or a related DL framework, and experience with geospatial libraries (GDAL, rasterio, geopandas)

• Qualifications: Master's degree or equivalent work experience in Data Science, Statistics, Computer Science, Urban Planning, Geography, or a related field.

• Data Science: At least 2-3 years of professional experience in data science, data analysis, or related fields, preferably in development, humanitarian, or urban contexts.

• Programming and Tools: Strong proficiency in data science programming languages (e.g., Python, R) and experience with data manipulation, visualization, and statistical analysis tools.

• Geospatial Analysis: Experience working with geospatial data, GIS software (QGIS, ArcGIS), and spatial analysis libraries.

• Communication: Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

• Problem-Solving: Strong analytical and critical thinking skills with the ability to work independently and adapt to evolving project needs.

• Context: Experience working on projects in developing countries, understanding of low-resource environments, and sensitivity to cultural contexts.



Languages:

- English (required)

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