Data Scientist (Python / Geospatial Data)

We are looking for an analytically strong and technically curious Data Scientist to join our team in Lviv.

What you will do:
Analyse large and complex datasets to identify patterns, relationships, and opportunities for improving our models.
Develop, test and improve algorithms and predictive models using Python.
Work with geospatial data and contribute to the development of high-resolution environmental maps.
Apply statistical methods and machine learning where appropriate.
Contribute to monitoring, troubleshooting, and improving our existing data processing and production systems.
Investigate data quality issues, unexpected model outputs and processing failures.
Gradually develop a good understanding of our Azure-based production environment.
Work independently and collaboratively to solve analytical and technical challenges.
What we are looking for:
Approximately 3–5 years of relevant professional experience.
Strong analytical thinking and problem-solving abilities.
Solid programming skills in Python, including experience with Pandas, NumPy or similar libraries.
Good understanding of statistics, data analysis and quantitative modelling.
Experience working with complex datasets and developing reliable, maintainable code.
Ability and willingness to understand existing software systems, investigate errors and contribute to troubleshooting.
A structured, independent and pragmatic approach to solving problems.
Good communication skills in English.
Nice to have:
Experience with geospatial analysis, GIS or map production, using tools such as GeoPandas, Rasterio or QGIS.
Experience with machine learning and predictive modelling, for example scikit-learn.
Familiarity with Microsoft Azure or other cloud platforms.
Experience with automated data pipelines, monitoring or production environments.
Experience with satellite imagery, remote sensing or environmental data.
Familiarity with Git and SQL.
What we offer:
The opportunity to work with satellite data, environmental modelling and high-resolution geospatial technologies.
Challenging analytical problems with practical, real-world applications.
A small, international team where your work will have a direct impact.
Opportunities to develop expertise in data science, geospatial analysis and production systems.
A varied role combining research, model development and practical problem-solving.