Senior Data Scientist

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

Debrecen Senior Data Science

At a glance

Senior Data Science role at ALDI. Debrecen.

Pay not stated Data Scientist salary

RoleData Science

SenioritySenior

LocationDebrecen

PostedSep 18, 2026 · 5w ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Develop analytical approaches with business partners, using AI, generative AI or applied statistics to address their goals
Explain your analytical methods and recommendations through presentations, reports or similar formats
Show how data-led decisions can improve revenue measures or reduce costs, and help others understand the reasoning
Build scalable, interpretable models and work with data engineers, executives, analysts and developers to integrate them into data products
Combine internal and external data, and establish reusable processes, frameworks, tools and standards

What you bring

An academic background in data science, computer science, engineering or statistics
Strong data science skills, especially Python and PySpark, plus the ability to write complex SQL
Machine learning expertise across clustering, classification, regression, anomaly detection, simulation and optimization on large datasets
Experience combining varied data sources for analysis and modelling, with big-data technology experience such as Azure or Databricks

Who this fits

This role suits a senior data scientist who can lead analytical work and collaborate with technical teams and business partners. The position is full-time and based at the Debrecen workplace. You’ll need to submit an English resume through the online application.

From the employer

PLACE OF WORK
4024 Debrecen, Barna utca 23

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