Meteorological Data Scientist

Tomorrow.io•Boston, MA

9h•$105,000 - $115,000

About The Position

The Meteorological Data Scientist joins Tomorrow.io’s R&D Team, a group of scientists and engineers building data and model pipelines for historical, real-time, and forecast weather products. The role focuses on helping customers maximize the use of Tomorrow.io’s proprietary satellite, numerical weather prediction (NWP), AI model, and other meteorological data. The scientist develops prototypes and customer use cases, performs quality assurance and validation, and works hands-on with proprietary satellite data and AI weather models. The position collaborates with Weather Science, Weather Applications, Bespoke Solutions, and Space and Sensor teams, as well as Marketing, Accounts, Customer Teams, scientists, and customers. It includes customer-facing work to troubleshoot model and observation performance, communicate the value of meteorological data, and guide customers as needed. Tomorrow.io describes a collaborative “one office” culture that also includes Zoom meetings, flexible hours, and unlimited vacation days. Success is evaluated by impact and deliverables rather than hours worked. The company emphasizes transparency, empathy, fairness, inclusion, and individual career growth. The anticipated salary range is $105,000–$115,000, subject to local market and candidate skills and experience. Comprehensive health benefits, unlimited paid time off, and other benefits are included; relocation assistance may be available for certain roles.

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, including experience working cross-functionally and in customer-facing roles.
Hands-on scientific coding skills, such as Python, and familiarity with common data-processing and analysis packages such as Pandas, NumPy, xarray, or equivalents.
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 such as 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 behaves and how to investigate logically consistent outcomes.

Responsibilities

Develop data visualizations, statistical analyses, and product prototypes to maximize Tomorrow.io meteorological data for customer use cases.
Validate AI weather models and products.
Collaborate 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 create 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.