Data Scientist
Mindbox Sp. z o.o.
⚲ Warszawa
23 100 - 26 250 PLN (B2B)
Wymagania
- Degree
- SQL
- Python
- NLP (nice to have)
- AI (nice to have)
- Apache Spark (nice to have)
- Cloud platform (nice to have)
- Azure (nice to have)
- GCP (nice to have)
Opis stanowiska
O projekcie: 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. 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 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. Ready to take the next step? Submit your application! We look forward to reviewing your profile 😊 Wymagania: 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) Codzienne zadania: - 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