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
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