Tento seznam obsahuje pouze země, pro které byly zveřejněny pracovní nabídky ve vybraném jazyce (např. ve francouzské verzi se zobrazují pouze nabídky práce ve francouzštině a v anglické verzi pouze ty v angličtině).
We're building a new Business Analytics team with big ambitions – using advanced data analytics to drive our company forward. If you're passionate about turning data into impactful solutions and insights, we'd love to connect with you. We're seeking an experienced colleague to join our small, friendly team of data enthusiasts. The ideal candidate brings both technical expertise and a collaborative spirit, as we believe great analytics comes from great teamwork. We offer flexible work arrangements with regular home office options, but we love spending time together - most days you'll find us in the office having coffee, going for lunch together, and collaborating with colleagues from other teams.
Odpovědnosti:
Work on meaningful data projects in close collaboration with business teams (especially Purchasing and Marketing) with impact on our customers, sales, profit, or costs
Analyze complex datasets to extract actionable insights (focus on promotions/leaflet offers, customer cards, customer behavior…)
Create automated models, analyses or reports
Build and implement machine learning models to tackle business challenges
Požadavky:
Proven experience as a Data Scientist min. 3 years
Proven track record in data analysis, data science, or ML model deployment preferably in cloud environments (GCP)
Very good programming skills in Python with sound practical experience SQL
Knowledge of common data science libraries and tools such as scikit-learn, pandas, Matplotlib and jupyter
Experience with creating dashboards in Streamlit, PowerBI or other similar tools as advantage
Knowledge of professional software development methods including version control (Git), CI/CD and containerization (Kubernetes) is welcome
Communicative knowledge of English necessary (C1, B2), German is a plus
Výhodou:
Experience with creating dashboards in Streamlit, PowerBI or other similar tools
Knowledge of professional software development methods including version control (Git), CI/CD and containerization (Kubernetes)
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