Sr. Data Scientist (Earthscan Ratings)
Barcelona, Catalonia, Spain
Applications have closed
Mitiga Solutions
Science-based climate risk intelligence. Analyse, report and act on your business exposure to climate risk.Our mission
Climate change is causing deep uncertainty at all levels of society, with climate volatility reducing the security of all land-based assets and posing a multi-level security threat for the functioning of enterprises, societies, and governments.
Mitiga is a spinoff of the Barcelona Supercomputing Center, which hosts MareNostrum, one of the most powerful supercomputers in Europe.
Mitiga's mission is firmly rooted in employing cutting-edge science and technology to mitigate the multifaceted risks posed by climate-driven perils. Our approach spans a spectrum of temporal scales, from real-time and annual forecasts to projections spanning the next century. This comprehensive perspective on risk, coupled with our capacity to transfer risks to capital markets via catastrophe bonds, positions us to significantly contribute to enhanced climate mitigation, resilience, and equity.
And we need you.
The role
EarthScan is seeking a talented Data Scientist with a geospatial statistics background to play a key role in shaping the future of our EarthScan Ratings product. You will be instrumental in developing innovative methods to quantify climate risk exposure and impact across various hazards. Your work will be highly impactful, informing a wide range of use cases served by EarthScan, and directly contributing to the creation of next-generation risk rating products.
Who you are
- Super confident in geospatial statistical methods, including spatial autocorrelation, point pattern analysis, and geostatistics.
- Adept at building and managing ETL pipelines for data transformation and integration.
- Possess proven experience working with spatial climate data and climate modelling outputs.
- A Python pro with proficiency in geospatial libraries like GeoPandas.
- Skilled in using GIS software for data visualization and insightful analysis.
- A gifted communicator with the ability to effectively present complex findings to both technical and non-technical audiences.
- A meticulous problem-solver with a strong analytical mind.
Bonus Points:
- Experience applying machine learning techniques to analyze climate data.
- A solid understanding of climate modelling principles and methodologies.
- Familiarity with risk modelling concepts and practices.
Your Impact
- Design a robust methodology to transform raw climate risk metrics (e.g., flood depth, wind speed) into standardized, comparable risk rating scores. This will allow for apples-to-apples comparison of diverse climate hazards. The methodology should be scalable to accommodate the integration of new data sources.
- Develop a system to generate a single, unified risk rating score that effectively captures the combined impact of multiple climate hazards on a specific location or asset.
- Craft rating methodologies that intelligently leverage real-world damage and loss data to generate more meaningful and actionable risk assessments.
- Collaborate with the team to build efficient, scalable pipelines for generating risk ratings for large datasets, ultimately streamlining their integration into crucial decision-making processes.
Requirements
Qualifications:
- PhD or Master Degree in Computer Science, Applied Mathematics, Physics, Statistics, Machine Learning, or other data centric disciplines
- 3+ years of practical experience with geospatial (e.g. earth observation) data
- 3+ years of practical experience in hands-on data science roles
- Ability to write clean and maintainable Python code & strong knowledge of core Python analytics libraries.
- Strong problem-solving, mathematical and statistical skills.
- Fast learner who is not afraid to get involved in new and challenging areas.
Join EarthScan and be at the forefront of developing solutions that empower informed decision-making in the face of climate change.
Benefits
Diversity
A recent study shows that one in every 10 tech workers in Spain are women. Only 8% of all contracts in 2019 with people with disabilities were in technology and science. Meanwhile, 30% of LGTBIQ people in Spain do not come out in the workplace for fear of discrimination.
This is neither the world we want to live in nor the workplace we’re building.
Mitiga is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
In fact, we strongly encourage applicants from minority groups to apply.
Our offer
Our vision is to be the place where a diverse mix of talented people want to come, to stay and do their best work. Some of our benefits, like unlimited personal time or flexible working arrangements, help work adjust to your life – and not the other way around. You can work from home or come twice a week to our office near the beach in one of the coolest spaces in town (Norrsken House). Dogs and other furry friends are welcome!
Our compressed work schedule allows you to work half a day on Fridays during the year (so you can start the weekend early). During the summer, it also allows you to work 4 days a week, so you spend time with your loved ones (or work on your tan). Shadow our leadership and participate in our structured feedback and mentorship programs. If you grow, we grow.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data visualization ETL Machine Learning Mathematics PhD Physics Pipelines Python Security Statistics
Perks/benefits: Career development Equity Flex hours Salary bonus Startup environment Unlimited paid time off
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