Climate Data Scientist

ISS STOXX•New York, NY

19d•$155,000 - $175,000•Hybrid

About The Position

Let’s be #BrilliantTogether ISS Sustainability is growing! Our Climate & Nature unit seeks a climate data scientist to improve our existing climate and nature risk models, create new models and develop new products, and analytical tools and AI techniques to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative. In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations.

Requirements

Advanced university degree ideally in atmospheric or physical sciences, meteorology, hydrology, environmental science or equivalent.
Advanced university degree ideally in atmospheric or physical sciences, meteorology, hydrology, environmental science or equivalent.
Experience as a climate scientist, hazard modeller, environmental engineer or similar, with expertise in developing or maintaining large climate physical hazard models, e.g. in atmospheric sciences, climate change, climate impacts, physics-based climate hazard modelling or natural catastrophe modelling transforming frontier research to production wokflows.
Experience using and interpreting climate model output and climate model projections (such as from CMIP5 and CMIP6).
Experience in leveraging AI/ML and developing AI-driven solutions, and/or predictive models.
Demonstrable experience in PyTorch or TensorFlow, JAX or similar.
Comfortable working with large geospatial and climate data and different file formats (NetCDF, Zarr, GeoTIFF).
Ability to work with geospatial data analysis tools and technologies, including QGIS and Python Xarray/Dask/Rasterio.
Good working knowledge of UNIX shell and docker.
Robust data science and statistical analysis capabilities.
Excellent communication
Strong analytical skills and problem-solving capabilities.
Ability to work collaboratively and to efficiently work with teams across different locations and time zones in a fast-paced environment.
Excellent oral and written command of English (French or German is a plus).

Nice To Haves

Experience training ML models on large and noisy datasets is a plus.
Previous research and publishing climate papers experience is a plus.
Previous experience in ESG and/or Sustainable Climate Finance is a plus.

Responsibilities

Contribute to the team’s data science-driven product development efforts.
Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods.
Develop custom data models and algorithms to apply to data sets.
Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc.
Help maintain and improve existing datasets, models and pipelines.
Contribute to regular data updates.
Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
Coordinate with other Sustainability and climate and nature-risk products and understand the competitor landscape.
Support colleagues and clients on ISS Sustainability product offerings as a topic expert, including day-to-day communications and operations.
Help client-facing teams with product use and specialist client questions.
Analyse international regulatory requirements, public datasets, scenario data, etc., to identify how to add value and develop new climate-related sustainable finance products.