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(Senior) Data Scientist - Personalisation (m/f/n)

InPostPolskaPolska

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano20 lipca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
ZarobkiDo uzgodnienia

InPost is looking for a talented (Senior) Data Scientist to join our Personalization Hub. You will leverage advanced analytical techniques and machine learning models to extract actionable insights from complex data sets, driving strategic decision-making and operational excellence across our international platforms.

Key responsibilities

  • Partner with product and business teams to translate needs into data science solutions and actionable insights.
  • Develop and implement ML models, GenAI products, and hybrid approaches to optimize marketing strategies and user experience.
  • Collaborate with cross-functional teams to ensure seamless integration of data-driven initiatives.
  • Communicate complex findings and recommendations to management and non-technical stakeholders.
  • Maintain and monitor data products while staying updated on the latest trends in AI and data science.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or a related field.
  • At least 3 years of commercial experience as a Data Scientist.
  • Proficiency in Python 3 and essential data analysis libraries like Pandas, Scikit-learn, and PyTorch.
  • Strong knowledge of ML solutions including recommender systems, clustering, and classification.
  • Experience working with large datasets, PySpark, relational databases, and cloud environments.
  • Professional proficiency in both Polish and English.

What we offer

  • Impact: Your work will directly influence strategic decisions across multiple international markets.
  • Innovation: Work with cutting-edge technologies and methodologies in a data-driven environment.
  • Growth: Unparalleled opportunities for professional development and career advancement.
  • Collaboration: Engage with cross-functional teams in a culture of continuous learning.

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