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hace 2 meses
We are seeking a highly skilled Data Scientist/Engineer to join our team at the Barcelona Supercomputing Center. As a key member of our team, you will be responsible for developing and implementing data-driven solutions to analyze and mitigate wildfire risk.
Key Responsibilities- Design and develop data products, including data acquisition, cleaning, and modeling, to support our wildfire risk analysis efforts.
- Analyze large datasets to identify trends, patterns, and insights that inform our risk assessment and mitigation strategies.
- Develop and deploy predictive models using statistical techniques to forecast wildfire risk and behavior.
- Collaborate with cross-disciplinary teams, including scientists, software engineers, and data scientists, to integrate data-driven insights into our research and development projects.
- Master's degree in Computer Science, Applied Mathematics, Physics, Statistics, or a related field.
- 3+ years of experience in writing clean and maintainable Python code, with a strong focus on data analysis and machine learning.
- Strong problem-solving, mathematical, and statistical skills, with the ability to apply systems from research departments to operational products.
- Programming skills in Python, C/C++, JavaScript, and other relevant languages.
- Experience developing systems on top of and for Linux environments.
- Experience with geospatial data and open-source GIS libraries, data formats, and standards.
- Experience dealing with danger applied to natural disasters, particularly wildfires.
- Strong analytical and organizational skills, with the ability to prioritize and manage projects independently.
- Proficiency in English, with good handling of Spanish.
- A full-time contract with a competitive salary commensurate with qualifications and experience.
- A highly stimulating work environment with state-of-the-art infrastructure.
- Flexible working hours and an extensive training plan.
- Restaurant tickets and private health insurance.
- Support for relocation procedures.
