Scientific Computing & Spatial Analytics Engineer (Python)

Location: Bulgaria, Poland, or Romania; remote/office work

Company

hirify.global provides engineering and technology solutions for a strategic mining platform supporting the exploration, extraction, processing, and marketing of copper, iron ore, platinum group metals, and diamonds.

What you will do

• Design and build data-intensive Python applications that transform sensor, geological, and operational data into actionable insights.
• Develop and deploy Dockerized services for analytical models across global mining sites.
• Apply spatial interpolation, geostatistical methods, and time-series analysis to model resource distributions, ore bodies, and operational risk.
• Integrate machine learning models into production workflows with data scientists, geologists, and platform engineers.
• Query, structure, and optimize large operational datasets in SQL.
• Build Azure services with Container Apps and Service Bus, and support MLOps monitoring, retraining, and model versioning.

Requirements

• Strong hands-on experience with Python and numerical or data analysis libraries such as NumPy, SciPy, Pandas, or Polars.
• Experience developing and deploying Dockerized applications.
• Working knowledge of machine learning concepts and statistical methods.
• Proficiency in SQL and experience with time-series analysis and spatial interpolation.
• Experience with Azure Cloud services, including Container Apps and Service Bus.
• Ability to work independently and collaborate across distributed, cross-functional teams.

Nice to have

• Exposure to C++ or .NET/C#.
• Familiarity with Microsoft SQL Server, PostGIS, or geostatistics.

Culture & Benefits

• Remote or office-based work options.
• Collaboration with cross-functional stakeholders across multiple regions.
• Technical ownership and innovation applied to real mining operations.
• Equal opportunity employment.