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12 дней назад

Meteorological Data Scientist (AI)

105 000 - 115 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Meteorological Data Scientist (AI): Developing data visualizations, statistical analyses, and product prototypes from satellite, NWP, and AI weather-model data with an accent on operational forecasting, model validation, and customer use cases. Focus on validating AI weather models, integrating scientific data pipelines, and building AI-assisted workflows for weather information and product development.

Location: Boston, Massachusetts, United States; hybrid

Salary: $105,000–$115,000 per year, subject to local market, skills, and experience

Company

hirify.global provides a resilience platform combining space technology, generative AI, proprietary weather modeling, forecasting, and decision-support capabilities.

What you will do

  • Develop data visualizations, statistical analyses, and product prototypes using meteorological data.
  • Validate AI weather models and products, including proprietary satellite data, NWP data, and observations.
  • Investigate model and observation-data performance and strengthen customer use cases.
  • Use AI tools and model data to create prototypes for scientists and end users.
  • Collaborate with Weather Science, Weather Applications, Bespoke Solutions, Space and Sensor, Marketing, Accounts, and Customer teams.
  • Support customers with weather-data use cases, validations, and value propositions.

Requirements

  • Degree in Atmospheric Science or Meteorology.
  • 3+ years of experience as an operational meteorologist or research atmospheric scientist.
  • Experience with customer-facing work, weather-data visualization and integration, and AI tools.
  • Strong scientific programming skills, including Python and data-processing, visualization, statistical-analysis, and validation packages.
  • Experience with cloud computing, meteorological and geospatial formats such as NetCDF, GRIB, Zarr, GeoJSON, METAR, and TAF.
  • Understanding of data architecture and pipelines, structured and unstructured datasets, and AI-assisted development and communication workflows.

Culture & Benefits

  • One-office environment combining in-person collaboration with Zoom meetings and flexible hours.
  • Unlimited paid time off and comprehensive health benefits.
  • Career growth paths focused on individual impact and development.
  • Workplace culture centered on fairness, transparency, directness, empathy, and equal opportunity.
  • Relocation assistance may be available for certain roles.

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