Data Scientist

Opis oferty

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. 

Wymagania

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)

Zakres obowiązków

• 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