Senior Data Scientist - Numerical Weather Prediction

Senior Data Scientist – Numerical Weather Prediction

Earth Daily Analytics (EDA) is the Earth Daily Constellation, a global change detection system that combines Earth observation, software engineering, machine learning and cloud computing. We are looking for a technical expert who can bridge advanced atmospheric science with commercial applications and help launch a frontier product.

• Perform statistical validation of operational weather models (GFS, GEFS, CFS, ECMWF IFS, ERA5) using GRIB2, NetCDF and NEMSIO datasets.
• Develop and maintain scalable pipelines for ingesting, processing and analysing large meteorological archives.
• Design, prototype and deploy AI‑based forecasting models (transformers, graph neural networks) and probabilistic ensembles.
• Integrate production‑grade Python code and MLOps best practices into the EDA code base and deploy to AWS using CDK and infrastructure‑as‑code.
• Communicate complex forecasting concepts to technical and non‑technical audiences, collaborating with sales and product teams to translate customer needs into solutions.

• Master’s or Ph.D. in Atmospheric Science, Meteorology, Climate Science or related quantitative field.
• 5–8 years of experience in weather forecasting or climate modeling, with 3+ years of production‑level Python development.
• Proven skill in forecast verification, model evaluation and statistical analysis of numerical weather prediction systems.
• Experience processing large GRIB2/NetCDF/NEMSIO datasets and deploying machine learning models in production environments.
• Strong portfolio of weather data analysis, visualization and modeling projects.

• Python (expert), Num Py, Pandas, xarray, Dask, Sci Py, scikit‑learn, PyTorch or Tensor Flow.
• GRIB2, NetCDF, NEMSIO data processing libraries (cfgrib, pygrib, wgrib2).
• AWS cloud services (S3, EC2, Lambda, Sage Maker, ECS) and CDK or Terraform for infrastructure‑as‑code.
• MLOps: model versioning, experiment tracking, monitoring, automated retraining, CI/CD pipelines.
• Statistical verification methods (RMSE, MAE, ACC, bias, skill scores) and hypothesis testing.

Base Salary Range: $145,000 – $180,000 USD annually (Minneapolis‑derived). Competitive benefits, flexible time off and the opportunity to work remotely from the US or Canada.

• Competitive salary and flexible time off.
• Meaningful mission in a leading space and Earth observation company.
• Remote work with a global, collaborative team.
• Professional growth and continuous learning opportunities.