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Opis oferty

Data Science Specialist w Kraków, Polska

Mindbox Sp. z o.o.

  • HybrydowoPołączenie biura i pracy zdalnej

1300 - 1400 zł / dziennie

Kraków, Polska

  • Strong expertise in classical ML pipelines , including hands-on experience in model lifecycle management.
  • Proficiency in  feature engineering techniques and experience with models such as:
    • XGBoost , LightGBM , MLP , Autoencoders , etc.
  • Advanced SQL skills (both in standard language and through Python APIs, e.g., PySpark , pandas ).
  • Knowledge of  Apache Spark will be highly appreciated.
  • You are  detail-oriented , diligent , and an excellent communicator .

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.  

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.  

We are seeking a Data Science Specialist who will play a key role in supporting our ML team. You will work on developing and validating advanced models, performing feature engineering, and ensuring data quality for analytics initiatives.

 

If you are passionate about  Machine Learning , love turning complex data into actionable insights, and want to be part of a highly collaborative team - this role is for you.

 

Sounds like your kind of  challenge? 

#LI - Hybrid: 8x/msc from the office in Kraków

What you get in return

  • Flexible cooperation model
  • Hybrid work setup – 8x/msc from the office in Kraków
  • Collaborative team culture – work alongside experienced professionals eager to share knowledge 
  • Continuous development – access to training platforms and growth opportunities 
  • Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more 
  • High quality equipment – laptop and essential software provided 
Requirements: SQL, Python, PySpark, pandas, Apache Spark

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