Have proven ability to lead and develop high-performing engineering teams, make tough prioritization decisions and provide constructive feedback that supports growth., Have a strong technical background in data science or data analysis., Are able to work closely with business stakeholders, translate technical work into business value and risk and drive work with a strong sense of purpose., Have experience in data analysis using SQL and building machine learning solutions in production environments, especially with end-to-end experience in designing ML models., Want to translate business challenges into ML problems., Program in Python and efficiently use basic development tools., Understand statistical and machine learning methods., Embrace modern tooling, specifically possessing practical and theoretical knowledge of Generative AI and Agentic AI principles (coding tools, prompting, validation). The ideal candidate enthusiastically leverages GenAI coding tools (like Copilot) to boost and automate workflows, remaining up-to-date and critically engaged with the newest GenAI tooling., Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science (or similar major) or job experience in data science / ML positions.

sharing the costs of sports activities, private medical care, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, flexible working time, integration events, no dress code, leisure zone, extra social benefits