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Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ukraine/Poland/Europe +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Data Scientist (AI): Develop and improve data-driven models for forecasting, optimization, operational insights, prediction, anomaly detection, and risk assessment with an accent on time-series analysis, predictive modeling, and scalable data-science pipelines. Focus on analyzing large-scale sensor and operational datasets, building production-ready monitored models, and translating business needs into analytical solutions.

Location: Poland, Croatia, Ukraine, or Europe

Company

hirify.global is a custom software development company providing software engineering, product development, QA, R&D, design, technology consulting, and dedicated team services.

What you will do

  • Develop and improve data-driven models for forecasting, optimization, and operational insights.
  • Analyze large-scale sensor, process, and operational datasets to identify trends, risks, and improvement opportunities.
  • Build and validate machine learning models for prediction, anomaly detection, and risk assessment.
  • Create scalable data-science pipelines and collaborate closely with the project team.
  • Translate business needs into analytical solutions and present insights to stakeholders.
  • Ensure models are production-ready, monitored, and continuously improved.

Requirements

  • 5+ years of experience in data science.
  • Strong Python skills and experience with core data science and machine learning libraries.
  • Experience with time-series analysis, predictive modeling, anomaly detection, and optimization models.
  • Degree or equivalent education with a strong analytical background.
  • Commercial experience with data science and statistical modeling techniques.
  • Upper-Intermediate English or higher required.

Culture & Benefits

  • Close cooperation with the customer.
  • Challenging data science tasks and opportunities to influence project technologies.
  • Competence development opportunities.
  • Work with a team of professionals in a dynamic, low-bureaucracy environment.

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