Data Scientist @ Grafton Kft. Budapest

Data Scientist @ Grafton Kft.

Budapest

• You have at least 4 years of hands-on experience in data science or a related analytical field.
• You possess proficient English language skills, both written and spoken, to communicate effectively in an international environment.
• You are confident in using SQL for querying and managing data.
• You have practical experience with Apache Spark, especially in processing large-scale datasets.
• You are skilled in Python programming, particularly for data manipulation, modeling, and automation tasks.
• You are capable of creating insightful and visually clear dashboards and reports using Tableau.

Our partner is a global technology hub with a strong presence in Central Europe, operating at the intersection of retail and innovation. Their teams design and scale digital solutions that support millions of customers daily - from seamless e-commerce platforms to advanced supply chain systems.

Although they function like a modern tech company, they benefit from the stability and reach of a major international retailer. Their engineers, product managers, and data professionals collaborate across countries to solve real-world challenges at scale - whether its optimizing delivery logistics with AI or enhancing in-store checkout systems.

They foster a culture of continuous learning, agile thinking, and building technology that simplifies everyday life -  for both customers and colleagues.

,[Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making., Building Statistical models and ML algorithms with practitioner level competency, Writing structured, modularized & computationally efficient production-ready codes, Packaging the results in a manner that is easy to consume for the business, Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any), Keeping up-to-date with the latest in data science and retail analytics, actively taking part in knowledge sharing among colleagues] Requirements: Python, Spark, SQL, Tableau Additionally: Private healthcare, extra holiday days, Free parking.

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