Data Scientist

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

• 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

• 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

• 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