Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$105к-115к/год
$110к$140кмедиана$170к
По похожим ролям (49) ~ $140к/год
На СНГ рынке: $3.6к/мес ($2.5к - $4.4к)
70
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Работа с собственными спутниковыми данными и AI-моделями погоды в продуктовой компании выглядит интересно, но зарплата ниже рыночной медианы, что снижает привлекательность предложения.
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Ниже рынкаСовременный стекAI и метеоданныеРабота с клиентами
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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