Meteorological Data Scientist

The Tomorrow.io R&D Team is a mixture of scientists and engineers committed to generating the best and most novel data and models across all times: historical, real-time and forecast. The story just begins when the data hits our ingest and post-processing services. Every product that the user sees is the result of a pipeline of algorithms that needs to be run quickly and continuously. We are the team that builds the architecture behind the data and the models, to prepare the weather analyses, for the Product and Engineering team to serve to the masses.

We’re looking for a Meteorological Data Scientist to validate and quality control AI model data.

This role requires a mind for meteorological data. The candidate will dive headfirst into AI model and sensor data, performing validations, quality assurance and control, and producing product prototypes.

You will use AI to generate, compile, and troubleshoot software components as part of the native development flow. You’ll also work hands-on with state of the art AI weather models from Tomorrow.io and our partners.

This is not about incremental AI integration — this is about implementing and troubleshooting the frameworks that let AI scale atmospheric models 10x faster and smarter .

What You’ll Do:

• Perform validations of AI weather models and products .


• Develop data visualizations, validation, and statistical analyses of meteorological data products.


• Partner closely with Weather Science, Weather Applications, Bespoke Solutions, and Space and Sensor teams to troubleshoot performance of models and observation data.


• Use AI tools and model data to produce new product prototypes for scientists and end users.


• Work with Accounts and Customer Teams to produce customer-focused validations and value propositions for Tomorrow.io meteorological data; interfacing with customers as needed.

What You Bring:

• A Passion for meteorology — A degree in Atmospheric Science or Meteorology is required.


• 3+ years of experience as a meteorological data scientist or operational weather forecaster (with demonstrated experience with code)


• Strong hands-on skills with scientific code (e.g., Node.js, Python), using common packages for:




• Data processing and analysis (e.g., Pandas, NumPy, xarray, or equivalent).


• API and service development (e.g., FastAPI, Express, or similar).


• Statistical analysis and validation.


• Experience with Google Cloud Platform and/or Azure services, including data storage, serverless compute, and messaging (e.g., BigQuery, Cloud Functions/Run, Pub/Sub).


• Familiarity with weather and geospatial data formats (NetCDF, GRIB, 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 (e.g., GitHub Copilot, Cursor) into scientific and engineering workflows.


• Experience with integrating AI-assisted communication of weather information (chatGPT, Copilot, Gemini, etc) into workflows.


• 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.

If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned.

Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

At Tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. The anticipated salary range for this role is $90k-$105k subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

About Tomorrow.io:

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.

Ethos : Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.

How we roll : We work in an “one office” environment. We believe that magic happens when people work together. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first.