SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 105,000 - 115,000 / annual
Tomorrow.io is seeking a Meteorological Data Scientist to join the R&D team, which combines scientists and engineers to generate novel weather data and models across historical, real-time, and forecast timescales. The team builds the architecture behind data pipelines and algorithms that power Tomorrow.io's products.
In this role, you will work hands-on with state-of-the-art AI weather models, proprietary satellite data, and numerical weather prediction (NWP) systems. You'll develop data visualizations, statistical analyses, and product prototypes that maximize Tomorrow.io's meteorological data for customer use cases. Key responsibilities include:
- Develop data visualizations, statistical analyses, and product prototypes that maximize meteorological data for customer use cases
- Perform validations of 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 use cases
- 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; interface with and guide customers as needed
- Collaborate with scientists and customers on Tomorrow.io's proprietary satellite data use cases
You'll be part of a fast-growing company selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World. Tomorrow.io is trusted by six of the top ten Fortune 500 companies and combines next-generation space technology, advanced generative AI, and proprietary weather modeling.
REQUIREMENTS:
- Bachelor's degree in Atmospheric Science or Meteorology (required)
- 3+ years of experience as an operational meteorologist or research atmospheric scientist, with demonstrated experience in customer-facing work, weather data visualization, weather data integration, and AI tools
- Strong hands-on skills with scientific code (Python), including experience with:
- Data processing and analysis (Pandas, NumPy, xarray, or equivalent)
- Data visualization (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 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 (ChatGPT, Copilot, Gemini, etc.) into workflows
- Curious mindset with strong problem-solving and communication skills
- Experience working cross-functionally and in customer-facing roles
