Data Scientist

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. Do you want to work on end-to-end projects that truly impact business decisions? We’re looking for a Data Scientist who can turn data into real business value and implement innovative solutions. Sounds like your kind of challenge? What you get in return Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.) Hybrid work setup – remote days available depending on the client’s arrangements 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 Note: Detailed project information will be shared during the recruitment process. 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.
Requirements:
Who we're looking for Tech Stack: Languages & tools: Python, Jupyter/Zeppelin, SQL, Spark (PySpark) Libraries: Pandas, Numpy, Scikit-learn, Scipy, XGBoost Nice to have: TensorFlow, PyTorch, Keras, Optuna, Polars Required Skills University degree in quantitative fields (econometrics, mathematics, computer science, quantitative methods) Minimum 3 years of experience as a Data Scientist in commercial projects Strong data processing skills (SQL, Python) Solid knowledge of ML algorithms and hands-on implementation in Python Very good command of Python (OOP, code optimization) Ability to communicate with business stakeholders and present results clearly Nice to Have End-to-end project delivery experience: from concept to deployment Experience in NLP, LLM, or Generative AI projects Work with large-scale datasets (Apache Spark) Familiarity with cloud platforms (AWS, Azure, GCP)
Must have: Degree, SQL, Python, Spark, PySpark, pandas, NumPy, scikit-learn
Nice to have: NLP, AI, Apache Spark, Cloud platform, Azure, GCP, TensorFlow, PyTorch, Keras
Daily tasks: - Design and implement machine learning models (predictive, classification, segmentation, recommendation, optimization, NLP).
– Perform data analysis, exploration, and prepare datasets for modeling.
– Prototype and test analytical approaches.
– Develop and deploy production-grade ML solutions.
– Collaborate with clients: requirements analysis, presenting concepts and results.
– Stay up to date with new technologies, libraries, and ML trends; propose innovative solutions