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1 день назад

Data Scientist (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ukraine/Poland/Croatia
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
Data Scientist (AI) (Python/time-series/ML): Developing data-driven models and scalable data-science pipelines for forecasting, optimization, anomaly detection, and operational insights in a zero-carbon electricity business with an accent on predictive modeling, sensor-data analysis, and production readiness. Focus on building and validating machine learning models, identifying risks in large-scale operational datasets, and continuously monitoring and improving deployed models.

Location: Poland, Croatia, Ukraine, or Europe

Company

hirify.global is a custom software development company providing product development, QA, R&D, design, technology consulting, and dedicated team services through delivery centers in Eastern Europe and sales offices in Europe and North America.

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.
  • Prepare models for production, monitor their performance, and continuously improve them.

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, and anomaly detection.
  • Ability to build optimization models.
  • Degree or equivalent education in a relevant discipline, with a strong analytical background and commercial experience in data science and statistical modeling.
  • Upper-Intermediate English or higher.

Culture & Benefits

  • Close cooperation with the customer.
  • Challenging data science tasks and opportunities for competence development.
  • Ability to influence project technologies.
  • Collaboration with a team of experienced professionals.
  • Dynamic environment with a low level of bureaucracy.

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