(Senior) Data Scientist, Data & Analytics, Group Digital - Madrid

Join Ingka Group's Group Digital organization and lead the next wave of our omnichannel store expansion. This is a unique opportunity to use data, advanced analytics, and AI to answer one of our most critical strategic questions: where and how should IKEA grow?, * For any potential new store location, what is its predicted multi-year P&L? You may need to account for total sales, product mix, estimated costs, cannibalization of existing stores, and the causal uplift on our online and remote channels.

• What is the optimal network of stores and formats required to hit a market's penetration and share goals over the next decade? This involves simulating potential investment scenarios to recommend the most robust strategy.
• What is the true ROI of every square meter in our existing stores? You will build models to identify opportunities for reallocating space between product categories (e.g., kitchens vs. sofas) or introducing new services to maximize profitability.
• How can we use AI to streamline and accelerate the store design process, using product demand forecasts and operational constraints to generate optimal layouts?

Do you have experience in Tableau?, Do you have a Master's degree?, Your work will directly influence major investment decisions, defining our physical presence - from large format stores to new city-center touchpoints - for years to come. If you are passionate about using data to solve complex, real-world problems with tangible impact, we would love to meet you.

We are looking for a first-principles thinker who combines intellectual horsepower with a craftsman's pride in their work. You see the big picture but master the details.

• You have a history of delivering material impact. You've spent 5+ years in a fast-paced commercial environment, personally driving 15+ complex analytical products or features from initial concept to production. You don't just build models; you build measurable business value.
• You are technically formidable. With an advanced quantitative degree (PhD/MSc) as your foundation, you are a master of the tools of the trade. This includes:

o Deep fluency in Python for the entire data science workflow (data wrangling, experimentation, statistical modeling) and expert-level SQL. o A broad command of ML methodologies (supervised/unsupervised, causal inference, optimization, forecasting, generative/Agentic AI, etc) and the critical judgment to know which to apply and when. o Proven experience building and deploying robust, production-grade ML pipelines in the cloud (GCP preferred), following modern MLOps practices (e.g., Git, CI/CD, containerization, monitoring).

• You think in product terms. You have a strong intuition applying 80/20 thinking to reframe ambiguous problems analytically and estimate business impact. You design analytical tools that are not just powerful, but profoundly useful, creating intuitive dashboards and dynamic visualizations (e.g., in PowerBI, Looker, or Tableau) that empower users to act.
• You are a gifted translator and data storyteller. You can build a compelling, rigorous narrative for any audience-from a technical deep-dive with engineers to a strategic recommendation for a C-level executive.
• You have founder mentality. You take ownership, build cross-functional relationships, and find genuine satisfaction in mentoring others while leading high-performing workstreams.

This is our wish list! If you don't recognize yourself in every one of these points, you might still be an excellent candidate for the role. We are looking for exceptional individuals and like to think long-term investing in people's development together with us., Please apply with your application in English; otherwise, we will not be able to process your application.

We’re a diverse group of down-to-earth, straightforward people with a passion for life at home. We come from all over the world with a vision to inspire and enable people to live more sustainable and healthy lives. Our work is all based on a spirit of togetherness and enthusiasm with care for people and planet. We work hard but we have fun doing it. Together we build a diverse, inclusive, open and honest work environment and are always looking for people who share our positive attitude and values.