Data Scientist | F/M/D

4 ноября 2026 г.

Гибрид

Senior

Warsaw, Poland

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немецкий · уровень B1

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Английский обязателен
уровень C1

Описание

A Data Scientist role focused on turning AI into practical, scalable solutions across diverse business domains. The person will work with business and tech stakeholders to shape prototypes and deploy real-world applications using machine learning and NLP. The environment is international and data-driven, with cross-functional agile teams and analytical excellence at the core.

Обязанности

Collaborating with business and tech teams to translate ideas into data- and AI-driven solutions
Developing and deploying machine learning and NLP models using modern tools and methods
Preparing structured and unstructured data for analysis and modeling
Creating visual and analytical outputs that support decision-making and tell compelling data stories
Contributing to internal initiatives to improve data infrastructure, tools and methods
Working in cross-functional agile teams and keeping stakeholders informed along the way

Требования

Fluent English (C1+)
Master’s degree or higher in a quantitative or technical field such as Mathematics, Informatics, Natural Sciences or Engineering
Strong hands-on experience in programming; knowledge of Python and Kubernetes is a plus
Experience working with NLP tasks and unstructured data
Familiarity with cloud platforms and tools that support scalable model deployment such as MLOps, Docker, Git
Sharp analytical and conceptual skills with a structured approach to problem-solving
Experience working in high-performance cross-functional teams and fast-paced project environments
Project management experience
Proven ability to distill complexity and communicate insights clearly to technical and non-technical audiences
Comfortable working at the interface of business, data and technology
Proactive mindset and willingness to take ownership from idea to implementation

Условия

Flexible working hours and possibility of remote working
Medical package, sports card and numerous sports sections
Confidential employee assistant program for work-life balance
Workshops, training courses, hackathons and meetups
Digital learning platforms and language courses
CSR activities and team-building events
Full-time employment

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Data Scientist | F/M/D

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