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Data Scientist
  • Warsaw
Data Scientist
Warszawa, Warsaw, Masovian Voivodeship, Polska
Allegro sp. z o.o.
5. 9. 2025
Informacje o stanowisku

responsibilities :


  • Lead impactful projects: From concept to productization, youll co-create solutions solving complex business problems in DEX/CX/operations, utilizing predictive, segmentation, forecasting, and recommendation models.
  • Master diverse techniques: Work with a wide array of models, including GenAI, boosting models, Bayesian methods, causal inference, optimization methods, and deep learning.
  • Handle massive datasets: Process terabytes of data using Google Cloud Platform solutions, working with tabular, spatial, natural language, image, and time-series data.
  • Drive model implementation: Take part in implementing both off-line and on-line models.
  • Collaborate across teams: Partner with business stakeholders, analytics, and data engineering teams.

requirements-expected :


  • A degree strongly related to statistical/mathematical modeling (Mathematics, Physics, Economics, Computer Science, or similar).
  • At least 2 years of experience in data analysis using SQL and building machine learning solutions.
  • A passion for translating business challenges into impactful ML problems.
  • Excellent communication skills, from formulating analytical problems to clear and intuitive presentation of results.
  • Proficiency in Python and efficient use of basic development tools.
  • A strong understanding of statistical and machine learning methods, especially those used for forecasting and decision tree-based algorithms.

offered :


  • A Hybrid Work Model: Enjoy a hybrid work setup, with well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms).
  • Top-tier Equipment: Choose between a Macbook Pro or a corresponding Dell with Windows (if you dont like Macs), and other gadgets that you may need.
  • Attractive Compensation: Receive an annual bonus up to 10% of your gross annual salary, based on your performance and company results.
  • Personalized Benefits: A wide selection of fringe benefits through a cafeteria plan, allowing you to choose what suits you best (e.g., medical, sports, or lunch packages, insurance, purchase vouchers).
  • Professional Development: Free English classes tailored to your job, a high degree of autonomy in organizing team work, hackathons, team tourism, a dedicated training budget, and access to our internal educational platform, MindUp.
  • Continuous Growth: We encourage continuous development and trying out new things.

benefits :


  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • flexible working time
  • integration events
  • no dress code
  • leisure zone
  • extra social benefits

  • Praca Warszawa
  • Warszawa - Oferty pracy w okolicznych lokalizacjach


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