onsite
Data Scientist - Mid - Vantor
Data Scientist
Mid‑level Data Scientist skilled in Python, machine learning, and GIS/remote sensing to develop spatial intelligence solutions that empower decision makers with actionable insights.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models for spatial data analysis and predictive analytics.
- Process and analyze large geospatial datasets using Python, SQL, and GIS tools.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
- Validate model performance, conduct experiments, and iterate to improve accuracy and efficiency.
- Document methodologies, create reproducible pipelines, and share findings with stakeholders.
Requirements
- Mid‑level experience in data science with a strong foundation in Python and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Proficiency in GIS and remote sensing techniques, including raster/vector data processing.
- Hands‑on experience with SQL and relational databases for data extraction and manipulation.
- Ability to work with large, complex datasets and implement scalable solutions.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningdata analysissql