Meteorological Data Scientist

Tomorrow.io•Boston, MA

19d

About The Position

Tomorrow.io is seeking a Meteorological Data Scientist with strong operational forecasting experience to help customers maximize their use of proprietary satellite, NWP, AI weather model, and other meteorological data. The role works with the R&D team to develop product prototypes, strengthen product use cases, perform quality assurance and control, and validate satellites, models, and products. It offers hands-on work with advanced AI weather models and satellite data from Tomorrow.io and its partners. The position develops visualizations, statistical analyses, and prototypes for customer use cases; works across scientific, product, customer, and commercial teams; and may interface with and guide customers. The company describes its workplace as an “one office” environment, with collaboration in person and over Zoom, flexible hours, and an emphasis on impact and deliveries rather than hours worked.

Requirements

A degree in Atmospheric Science or Meteorology.
At least 3 years of experience as an operational meteorologist or research atmospheric scientist.
Demonstrated experience with customer-facing work, weather-data visualization and integration, and AI tools.
Strong problem-solving and communication skills, with experience working cross-functionally and in customer-facing roles.
Hands-on scientific programming skills, such as Python, and experience with common data-processing and analysis packages such as Pandas, NumPy, xarray, or equivalent.
Experience with data visualization tools such as CartoPy, MetPy, or similar.
Experience with statistical analysis and validation.
Experience with cloud computing.
Familiarity with meteorological and geospatial data formats, including NetCDF, GRIB, Zarr, GeoJSON, METAR, and TAF.
Solid understanding of data architecture and pipelines, including structured and unstructured datasets.
Proven experience integrating and operationalizing AI-assisted development tools into scientific and engineering workflows.
Experience integrating AI-assisted communication of weather information, such as ChatGPT, Copilot, or Gemini, into workflows.
Curiosity about how meteorological data works and how to probe for logically consistent outcomes.

Responsibilities

Develop data visualizations, statistical analyses, and product prototypes that maximize Tomorrow.io meteorological data for customer use cases.
Validate AI weather models and products.
Partner with Weather Science, Weather Applications, Bespoke Solutions, and Space and Sensor teams to troubleshoot model and observation-data performance and strengthen data use cases.
Use AI tools and model data to develop product prototypes for scientists and end users.
Work with Marketing, Accounts, and Customer Teams to develop customer-focused use cases, validations, and value propositions for Tomorrow.io meteorological data.
Interface with and guide customers as needed.
Work with scientists and customers on use cases for Tomorrow.io proprietary satellite data.