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Data Scientist @ Lingaro
  • Warsaw
Data Scientist @ Lingaro
Warszawa, Warsaw, Masovian Voivodeship, Polska
Lingaro
6. 2. 2025
Informacje o stanowisku

  • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
  • “Office as an option” model. You can choose to work remotely or in the office.  
  • Great Place to Work® certified employer.
  • Flexibility regarding working hours and your preferred form of contract.  
  • Comprehensive online onboarding program with a “Buddy” from day 1.   
  • Cooperation with top-tier engineers and experts.  
  • Unlimited access to the Udemy learning platform from day 1.
  • Internal Gallup Certified Strengths Coach to support your growth.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.  
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
  • Grow as we grow as a company. 76% of our managers are internal promotions.  
  • A diverse, inclusive, and values-driven community.   
  • Autonomy to choose the way you work. We trust your ideas.  
  • Create our community together. Refer your friends to receive bonuses.  
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.  
  • Modern office equipment. Purchased for you or available to borrow, depending on your location.

  • At least 3 years of experience in related field.
  • Strong knowledge of Python (OOP, decorators, best practices).
  • PySpark - ability to write well optimized pyspark code.
  • Databricks – knowledge of how workflow/pipelines work. Knowledge of databricks structure and ml related functionalities.
  • Knowledge of forecasting methods (lgbm, xgbost, statistical methods etc.).
  • Knowledge of other ML methods (clustering, regression, classification).
  • Experience with Data Analysis, Data Mining, Statistics or Optimization methods.
  • Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability).
  • Ability to work independently and can do attitiude.
  • Experience in working with client-facing role.
  • Good communication skills.
  • Basic knowledge of Azure tools.
  • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
  • “Office as an option” model. You can choose to work remotely or in the office.  
  • Great Place to Work® certified employer.
  • Flexibility regarding working hours and your preferred form of contract.  
  • Comprehensive online onboarding program with a “Buddy” from day 1.   
  • Cooperation with top-tier engineers and experts.  
  • Unlimited access to the Udemy learning platform from day 1.
  • Internal Gallup Certified Strengths Coach to support your growth.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.  
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
  • Grow as we grow as a company. 76% of our managers are internal promotions.  
  • A diverse, inclusive, and values-driven community.   
  • Autonomy to choose the way you work. We trust your ideas.  
  • Create our community together. Refer your friends to receive bonuses.  
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.  
  • Modern office equipment. Purchased for you or available to borrow, depending on your location.
,[Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodology., Work on existing time series forecasting repositories., Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, sharing know-how and working on projects as a SME of Supply Chain area., Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements). , Propose new experiments to improve model accuracy., Improve existing python code according to programming best practices. , Work closely with optimizing PySpark code., Deploy workflows/pipelines on Databricks., Work on implementing new forecasting models. Requirements: Python, PySpark, Azure, Databricks, Forecasting Tools: GitHub, GitLab, Agile. Additionally: Sport subscription, Private healthcare, International projects, Free coffee, Modern office, No dress code, In-house trainings.

  • Praca Warszawa
  • Warszawa - Oferty pracy w okolicznych lokalizacjach


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