1 день назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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