Data Scientist, REMOTE WARSZAWA
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)
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.
,[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] Requirements: Degree, SQL, Python, Spark, PySpark, pandas, NumPy, scikit-learn, NLP, AI, Apache Spark, Cloud platform, Azure, GCP, TensorFlow, PyTorch, Keras Additionally: Sport subscription, Private healthcare, International projects, Free coffee.