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Staff Applied Meteorological Scientist

Оценка ИИ

Престижная роль в компании-лидере рынка с конкурентной зарплатой и отличным пакетом льгот. Позиция предлагает уникальную возможность работать на стыке науки, ИИ и глобальной безопасности.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких знаний в метеорологии (PhD/Master's), опыта работы в военной сфере и навыков в области AI/Data Science. Высокий уровень ответственности за стратегическое планирование и руководство портфелем оборонных проектов делает эту позицию крайне сложной.

Анализ зарплаты

Медиана165 000 $
Рынок145 000 $ – 190 000 $
Оценка ИИ

Предложенная зарплата ($150k–$175k) полностью соответствует рыночным стандартам для позиций уровня Staff/Lead в области Data Science и метеорологии в США, особенно с учетом узкой специализации в оборонном секторе.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Applied Meteorological Scientist position at The Weather Company. With a robust background in atmospheric science and extensive experience in developing weather-based decision support systems, I am eager to lead the Military Weather-Science Portfolio. My career has been defined by the intersection of high-level meteorology and tactical exploitation, ensuring that complex environmental data is translated into actionable mission-risk assessments.

Throughout my 8+ years of experience, including significant time working within military contexts, I have developed a deep proficiency in AI-driven data science and systems architecture. I have a proven track record of implementing state-of-the-science algorithms and leading cross-functional teams to deliver pragmatic, cutting-edge technologies. I am particularly drawn to TWC’s commitment to accuracy and innovation, and I am confident that my expertise in Python, deep learning, and meteorological modeling will help maintain the company’s position as the world’s most accurate forecaster for defense operations.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в theweathercompany уже сейчас

Присоединяйтесь к мировому лидеру в области метеорологии и создавайте передовые решения для глобальной безопасности!

Описание вакансии

About The Weather Company:

The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).

Job brief:

As the Lead of TWC’s Military Weather-Science Portfolio, you will serve as the primary architect for weather-based decision support systems used in global defense operations. This role is not just about forecasting; it is about tactical exploitation. You will translate complex environmental data into mission-risk assessments that provide military commanders with a distinct "weather advantage."

You will operate at the intersection of high-level meteorology, AI-driven data science, and real-world military applications, ensuring our technology portfolio remains cutting-edge and pragmatically deployable.

The impact you'll make:

You will lead and manage The Weather Company’s (TWC’s) weather-science portfolio related to military applications. This will include:

  • Understanding the needs of military customers for weather data and weather-related decision support.  This role will operate at the intersection of military operations and Weather/environmental data for mission risk assessment and tactical exploitation opportunities. Gaining and sustaining this understanding may sometimes involve travel.
  • A key contributor to the envisioning, implementing, supporting, and refining of major core elements of the company’s military/meteorological technology portfolio in a manner consistent with the company’s needs.
  • Staying up to date on the latest advancements in meteorological instruments, software, and methodologies from across the enterprise.
  • Understanding the strengths and weaknesses of various observational and forecast data sources in order to provide optimal recommendations on constructing solutions.
  • Collaborating with other scientists as needed for solutions that extend to needs that encompass both military and non-military applications.
  • Developing and testing forecast and decision support methods from in-house and external data to meet the requirements of The Weather Company (TWC) products customized for military needs.
  • Collaborating effectively with other developers and systems engineers so that state-of-the-science algorithms are effectively implemented into TWC products.
  • Describing the science content of TWC products in conferences, symposia, trade shows, and more.
  • Preparing and delivering scientific, technical, or strategy presentations to TWC and external audiences, including clients and partners.
  • Actively facilitating others’ professional development via mentoring or serving in leadership of internal cross-team groups or external professional organizations.
  • Contributing to strategic planning for the long-term success of the company.
  • Performing other duties as assigned.

What you've accomplished:

  • Master’s degree or Ph.D. in Meteorology, Atmospheric Science, or a related field.
  • 8+ progression of responsibility in an applied meteorological or technical position, ideally with at least four of those years in the military.
  • Deep knowledge and experience in several relevant sciences and technologies, including meteorology, computing, data science, AI, and/or systems architecture.
  • Proven track record in conceiving pragmatic, cutting-edge weather-related technologies that materially advance the science.
  • Ability to anticipate science and technology trends, and proactively help ensure the company leverages emerging relevant capabilities quickly and appropriately.
  • Be widely recognized as a go-to leader in weather science and/or related technologies both inside and outside of the company.
  • Visceral passion for envisioning, elaborating, developing, optimizing, and reducing to practice pragmatic, world-class, state-of-the-science weather technologies both as an individual contributor and leader.
  • Demonstrated experience with statistical and computational methods in meteorology.
  • Strong analytical and problem-solving skills.
  • Demonstrated ability to be a strong contributor to a product team
  • Proficiency in programming languages (e.g., Python, R) and software used in meteorological research. Ideally, skills with deep learning and use of AI programming tools.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively in a research setting.
  • Strong organizational and project management skills.

Base Salary: $150,000 – $175,000

The base salary offered will take into account internal equity and may vary depending on the candidate’s geographic region of work premises, job-related knowledge, skills, and experience, among other factors.

TWCo Benefits/Perks:

  • Flexible Time Off program
  • Hybrid work model
  • Variety of medical insurance options, including a $0 cost premium employee coverage
  • Benefits effective day 1 of employment include a competitive 401K match with no vesting requirement, national health, dental, and vision plans
  • Progressive family plan benefits
  • An opportunity to work for a global and industry-leading technology company
  • Impactful work in a collaborative environment
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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Project Management
  • Artificial Intelligence
  • Python
  • Deep Learning
  • Systems Architecture
  • R
  • Statistical Analysis
  • Data Science
  • Meteorology
  • Atmospheric Science

Возможные вопросы на собеседовании

Важно понять, как кандидат переводит научные данные в практические рекомендации для командиров.

Опишите случай, когда вам пришлось адаптировать сложные метеорологические данные для принятия критически важного тактического решения в военной операции.

Проверка технических навыков в области современных методов машинного обучения.

Как вы интегрируете методы глубокого обучения (Deep Learning) в традиционные модели прогнозирования погоды для повышения их точности?

Оценка лидерских качеств и способности развивать команду.

Каков ваш подход к менторству и профессиональному развитию ученых в метеорологической среде?

Проверка способности предсказывать технологические тренды.

Какие основные изменения в области метеорологических технологий вы прогнозируете для оборонного сектора в ближайшие 5 лет?

Оценка навыков взаимодействия с инженерами для внедрения алгоритмов.

Расскажите о вашем опыте сотрудничества с системными инженерами при внедрении научно-обоснованных алгоритмов в готовый продукт.

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