Salary
≈ $37k – $90k per year (Estimated)
Location
In office (Pécs)
Seniority
Senior
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 18, 2026.
Overview
Company
Impact
Profile match
Hofer KG is a discount grocery retail enterprise operating as the Austrian subsidiary of the ALDI SÜD Group. The company provides fresh food, everyday consumer goods, private-label products, online shopping and delivery, and supplementary consumer services including mobile telecommunications (HoT) and travel arrangements. Headquartered in Sattledt, Upper Austria, Austria, the organization operates an extensive network of retail stores and logistics hubs serving consumers across the country.
- PLACE OF WORK
- 7622 Pécs, Bajcsy-Zsilinszky utca 33.
- 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
The offer that would convince me:
- Permanent contract with attractive compensation package
- High degree of personal responsibility and varied activities from day one
- International environment with colleagues from all over the world
- IT projects that set new standards in the retail industry
Online application:
Please use our online application and attach your English resume.
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