Data Scientist - Range Selection Tool

Job Description

About us…

We are on the journey to consolidate the digital capabilities and business processes at Retail Concept across the leadership areas IKEA Retail Experience, Brand & Marketing, Learning and Development, and Expansion. This journey needs passionate people who embrace change and development, dare to question, and want to make a difference. If that sounds like you, come and join us. Together we can do great things so IKEA can be an even better home furnishing retailer in the future.

The main responsibility areas in Retail Concept Operations (RCO) following the new Inter IKEA operating model are:

• Retail processes End-to-End
• Digital capability areas
• IKEA.com and IKEA.net channels
• ROSS

In short, the responsibility areas are described below:

Retail processes End-to-End

This describes how IKEA works with retail throughout the value chain, starting with our identity and the range, how we manufacture and supply to franchisees, and how we communicate, sell, and fulfill customer orders. The process indirectly defines the capabilities IKEA needs, with at least half of the process and capabilities managed by franchisees.

Digital capability areas

This encompasses the various capabilities supporting the retail concept, including subject matter experts, process personnel, and digital tools such as IKEA Digital Design System Skapa, IKEA Knowledge Graph, Visa Retail Guidance, and Range Selection Tool.

IKEA.com and IKEA.net channels

These are the external brand-building websites of IKEA, aimed at explaining who we are to our customer audience. They are not sales channels but serve as the public face of the brand online.

Retail Operation Solution and Support (ROSS)

This includes the upper funnel of IKEA.com retail websites, mainly contracted by IKEA IT AB, and the lower funnel involving customer checkout, payment, order orchestration, fulfillment, finance, customer support, and supply chain, utilizing capabilities from Supply and the Microsoft 365 Dynamics ERP platform.

The Data Scientist role focuses on data and insights within the Range Selection Tool data foundation area, which is used by most IKEA stores globally to recommend optimal product ranges based on various data sources like sales, demographics, and semantics.

About You…

You believe in developing models for data analysis and insights by creating transparent, reproducible, and reusable data science products. You value clear communication within and outside the digital product team to enable effective decision-making and aim to help IKEA become more data-driven. You are experienced in working within agile teams with high autonomy.

Additional qualifications include:

• Minimum 3-5 years of experience as a data scientist
• Deep understanding of statistical and machine learning techniques
• Proficiency with languages and frameworks such as Python, R, Julia, TensorFlow, Keras, Jupyter, Databricks, Azure ML, and cloud environments like Azure
• Experience with data modeling, databases (SQL, Oracle), distributed technologies, and graph databases
• Research experience and ability to develop data analysis models
• Ability to create transparent, reproducible, and generalizable data science products
• Skills in designing, developing, and maintaining data science models and infrastructures
• Strong communication skills to convey results to decision-makers
• Knowledge of digital frameworks, principles, and standards
• Up-to-date with latest data science trends

Main responsibilities include analyzing data structures, applying statistical and machine learning techniques, improving models, communicating insights, and collaborating with product teams to support data-driven decision-making.

This is a full-time position based in Malmö, Sweden, with some travel required. Please submit your CV in English by May 12, 2025, and tell us why you want to work at IKEA and why you are a good fit for this role. You will report to the Competence Hub Development Manager.