> Markdown version of [/jobs/ext/4422536-meteorological-data-scientist](https://www.wearedevelopers.com/jobs/ext/4422536-meteorological-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Meteorological Data Scientist - **Company:** Tomorrow Partners LLC - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $105,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Cloud Computing, Data Architecture, Data Integration, Data Visualization, Python (Programming Language), NetCDF, NumPy, Microsoft Copilot, Data Processing, Pandas, Google Gemini, GPT - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=03a7c4bc4996a571 ## About the Role * A Passion for meteorology - A degree in Atmospheric Science or Meteorology is required. * 3+ years of experience as an operational meteorologist or research atmospheric scientist (with demonstrated experience with customer-facing work, weather data visualization, weather data integration, and AI tools) * Curious mindset - Think deeply about why meteorological data works the way it does, and how to probe for the most logically consistent outcomes. * Strong problem-solving and communication skills, with experience working cross-functionally and in customer-facing roles. * Strong hands-on skills with scientific code (e.g., Python), using common packages for: * + Data processing and analysis (e.g., Pandas, NumPy, xarray, or equivalent). + Data visualization (e.g., CartoPy, MetPy, or similar). + Statistical analysis and validation. * Experience with cloud compute. * Familiarity with meteorological and geospatial data formats (NetCDF, GRIB, Zarr, GeoJSON, METAR, TAF). * Solid understanding of data architecture and pipelines, including working with structured and unstructured datasets. * Proven experience integrating and operationalizing AI-assisted development tools into scientific and engineering workflows. * Experience with integrating AI-assisted communication of weather information (chatGPT, Copilot, Gemini, etc) into workflows. ## Description * Develop data visualizations, statistical analyses, and product prototypes that maximize Tomorrow.io meteorological data for customer use cases. * Perform validations of AI weather models and products. * Partner closely with Weather Science, Weather Applications, Bespoke Solutions, and Space and Sensor teams to troubleshoot performance of models and observation data, and to strengthen use cases of our data. * Use AI tools and model data to produce new product prototypes for scientists and end users. * Work with Marketing, Accounts, and Customer Teams to produce customer-focused use cases, validations and value propositions for Tomorrow.io meteorological data; interfacing with and guiding customers as needed. * Work with scientists and customers on Tomorrow.io proprietary satellite data use cases.