Senior Data Scientist

ALDI aldi-hofer.com Open · verified Oct 24, 2026

Budapest Senior Data Science

At a glance

Senior Data Science role at ALDI. Budapest.

Pay not stated Data Scientist salary

RoleData Science

SenioritySenior

LocationBudapest

PostedSep 18, 2026 · 5w ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Work with business teams to develop new ways of reaching goals using AI, generative AI or applied statistics
Explain analytical methods and recommended actions through presentations, reports and similar formats
Show how data-led decisions can improve revenue measures or reduce costs, and teach teams how to apply them
Lead analytical work with engineers, executives, analysts and developers, integrating it into applications and tools
Build scalable, interpretable models and develop data combinations, processes and standards for analytical products

What you bring

A degree-level background in data science, computer science, engineering, statistics or a related listed discipline
Strong Python, particularly PySpark, complex SQL skills and proven data science capability
Machine learning expertise across clustering, classification, regression, anomaly detection, simulation and optimization
Experience analyzing large datasets, joining internal and external sources, and using big-data and visualization tools

Who this fits

This role suits a senior data scientist who can turn analytical methods into usable products and explain their value to business teams. The job is full-time and based at the Budapest office, with work starting as soon as possible.

From the employer

PLACE OF WORK
1112 Budapest, Boldizsár utca 2.

AREA OF EMPLOYMENT
IT

START OF WORK
as soon as possible

EMPLOYMENT TYPE
Full-time

megállapodás szerint

Your responsibilities:

Your Job

What you give your best for.

Collaboration with business partners in the development of new approaches to achieving goals using state-of-the-art techniques and tools (including AI models, generative AI and/or applied statistics)
Efficient communication of the analytical approach and of how the goals can be achieved through presentations, reports, or similar formats
Advocacy and education about the value of data-driven decision-making, with a focus on the “how and why” of problem-solving—e.g., demonstrating the value using revenue KPIs or cost savings
Leading analytical approaches and integrating the work into applications and tools together with data engineers, executives, analysts, and developers
Creation of repeatable, interpretable, dynamic, and scalable analytical models that are seamlessly integrated into analytical data products (from data interfaces to fully integrated web front ends, for example)
Development of functions to find new ways to combine different internal and external data sources
Identification and development of long-term processes, frameworks, tools, methods, and standards

The knowledge I own:

Your Profile

What you should have.

Academic background in data science, computer science, engineering, or statistics
Proven skills in data science and strong knowledge of Python (especially PySpark), as well as experience writing complex SQL queries
Mastery of machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems using large datasets
Demonstrated ability to combine diverse internal and external datasets and use them in a wide range of analyses and modelling tasks
Experience with big-data technologies (preferably Azure and/or Databricks) and with data visualization tools, preferably e.g., Tableau

What is considered desirable

Experience with retail data models and processes (especially in the areas of purchasing, marketing and/or planning)
Experience with long-term analysis and demand/sales forecasting
Experience with data science use cases in the supply chain or in finance
Experience working with customer data from mixed systems