Job description

The 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 with strong operational forecasting experience to help customers maximize their usage of proprietary satellites, NWP, and AI model data. This role requires a mind for meteorological data and forecasting. The candidate will dive headfirst into our satellite data, NWP and AI weather models, and other meteorological data to produce product prototypes, strengthen product use cases, perform quality assurance and control, and validate satellites and models. You’ll have the opportunity to work hands-on with state of the art AI weather models and satellite data no one else has seen from Tomorrow.io and our partners. What You'll Do: 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. What You Bring: 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. 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. Anticipated salary range for this role is $105-115k 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 jobs@tomorrow.io ___________________________________________________________________________________________ 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. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

Requirements

Must-haves

We’re looking for a Meteorological Data Scientist with strong operational forecasting experience to help customers maximize their usage of proprietary satellites, NWP, and AI model data.
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.
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.
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Nice-to-haves

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Keywords to mirror

aipython

Platform: greenhouse
Effort: quick

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Paid Time Off