Data Scientist
Location
Poland-wide (100% remote)
Responsibilities
- Design and implementation of solutions using machine learning
- Independent work on analytical and consulting projects
- Close collaboration with the client, process analysis, requirements gathering
- Conducting exploratory analyses
- Prototyping analytical solutions (training models, testing approaches)
- Development and deployment of production-level solutions
- Presentation of concepts and business cases, discussion of obtained results
- Evaluation of new technologies, libraries, approaches, and proposing innovative solutions
Technology stack
- Open-source: Python, notebook experience (Jupyter, Zeppelin), Spark (PySpark),
- Libraries: Pandas, Numpy, Scikit-learn, Scipy, Xgboost (Keras, PyTorch, TensorFlow, Optuna preferred)
Requirements
- Higher education in a specific field: econometrics, quantitative methods, mathematics, computer science
- Min. 2 years of experience as a Data Scientist / implementing commercial analytical projects (predictive, classification, segmentation, recommendation models, optimization, NLP)
- Strong data processing skills (SQL, Python: pandas, numpy, pyspark, polars)
- Good knowledge of machine learning techniques and algorithms and their implementation in Python
- Very good knowledge of Python, including object-oriented programming, code optimization
- Knowledge of good programming practices (code review, CICD)
- Good communication skills, ability to engage with business, and present complex concepts
Preferred:
- Experience in consulting / working for various external clients, possibly internal ones (e.g., a company's analytics department) / experience in several industries
- Experience in end-to-end projects: from design to implementation
- Experience in implementing projects in the following areas: NLP, LLM, GenAI
- Knowledge of tools for processing large data sets (Apache Spark)
- Knowledge of at least one cloud environment: AWS, Azure, GCP
What we offer
- Modern technology stack and openness to implementing new solutions
- Participation in diverse and technologically advanced Data Science projects
- Work in a dedicated Data Science team
- Private healthcare and sports card
- Flexible working hours and the possibility of 100% remote work
- Team-building events and unforgettable company events
- No dress code
Last modified Monday, April 20, 2026