Tomorrow Companies Inc.
Overview
The Tomorrow.io R&D Team is a mix of scientists and engineers committed to generating the best and most novel data and models across historical, real-time and forecast. The story begins when data hits our ingest and post-processing services. Every product that the user sees is the result of a pipeline of algorithms that is 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 teams 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 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. Equal Employment Opportunity and Accommodations
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. We participate in the E-Verify program in all US states, as required by law. 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. We combine next-generation space technology, advanced generative AI, and proprietary weather modeling to deliver forecasting and decision-making capabilities. We work with major companies to empower proactive management of weather-related risks and opportunities. Learn more at Tomorrow.io. Note
The following sections containing application form details and voluntary self-identification are not part of the job description and have been omitted from this refined version to focus on the role itself and essential legal statements.
#J-18808-Ljbffr
The Tomorrow.io R&D Team is a mix of scientists and engineers committed to generating the best and most novel data and models across historical, real-time and forecast. The story begins when data hits our ingest and post-processing services. Every product that the user sees is the result of a pipeline of algorithms that is 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 teams 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 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. Equal Employment Opportunity and Accommodations
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. We participate in the E-Verify program in all US states, as required by law. 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. We combine next-generation space technology, advanced generative AI, and proprietary weather modeling to deliver forecasting and decision-making capabilities. We work with major companies to empower proactive management of weather-related risks and opportunities. Learn more at Tomorrow.io. Note
The following sections containing application form details and voluntary self-identification are not part of the job description and have been omitted from this refined version to focus on the role itself and essential legal statements.
#J-18808-Ljbffr