DATA SCIENTIST, CUSTOMER DOMAIN, GROUP DIGITAL, INGKA GROUP

Who you are
We are looking for a Data Scientist to join us in developing ways for IKEA to stay relevant for our customers. We are using data and analytics within cross-functional teams, to create value all along our customer’s journey.
Our diverse Data & Analytics team is growing and we would love to talk with you, if you recognize yourself in some of the following:
• passionate about understanding a business problem and applying Data & Analytics to try and solve them
• have experience in developing data and statistics-driven solutions for real-life business problems
• love being creative through code (ideally in Python and beyond basic notebooks or scripts)
• master techniques for Data Science and can choose relevant algorithms fit for purpose, such as gradient boosting, Bayesian modelling, deep learning, natural language processing, time-series analysis or optimization/OR techniques
• have a strong background in math, computer science, engineering or equivalent (at least MS or equivalent)
• have experience leading the development of advanced analytics frameworks within large organizations
• have experience working in some of the following areas: customer analytics, personalization, product and price recommender systems, promotional effectiveness, sales and payments, NLP and demand forecasting (ideally in a retail setting)
• are a team player who takes ownership, builds cross-functional relationships with senior peers and loves sharing knowledge with other Data Scientists and coworkers
• proactively manage relevant stakeholders and/or teams to drive an intended outcome
• are curious, self-directed and want to keep learning!
This is our wish list! If you don’t recognize yourself in all these points, you might still be an excellent candidate for the role. We like to think long-term and invest in people’s development together with us.
The IKEA culture and values are very much a part of our business and day to day work life. For you to thrive and grow with IKEA it’s important for us that you share our values! You can read more regarding our values and life at IKEA on our website www.ikea.com.
What you'll be doing day to day
IKEA is taking huge steps in its digital transformation and our Data & Analytics Customer team is at the forefront of building intelligent systems for data-driven business decisions. For example, we are developing models and tools to answer questions like:
• How can we support our customers to find, explore, and buy relevant IKEA products?
• How do we build models that create value and are aligned with our IKEA values?
• Can we predict individual customers’ interests and behavior?
• What is the ideal personalized inspiration, offer, timing and channel for engaging with each customer?
• How much should and will we be selling of each article over time and which commercial levers should we pull to influence this?
Perhaps you have your own questions to ask? Our ultimate goal is to create a better everyday life for the many people by creating a unique partnership with each customer. To do so, we want to understand our customers, to give customers the most beneficial offerings for them exactly when they need it, and to support them throughout their journey with IKEA in the best way possible.
Our team within IKEA
You will work in Data & Analytics together with other Data Analysts, Data Scientists, Data Engineers, Data Stewards, ML Engineers and Data Architects. Together you will be joining cross-functional teams consisting of colleagues from Technology, Product and Design, that design, implement and deploy products that help to solve these kinds of problems. It will be a mix of product insights, data visualization and writing code – as well as talking with product owners and business stakeholders.
IKEA has long been a global leader in home furnishing. We are proud of our vision to improve the everyday life of the many people. But our industry is quickly changing and we need to adapt to stay competitive.
As part of IKEA’s journey to strengthen our digital capabilities, we are building a Data & Analytics function. This team is working on problems across the company, ranging from customer modeling, pricing, online shopping, visual intelligence to logistics optimization.
We see so many opportunities for what we can accomplish and have the ambition to be a world class team. At the same time, we believe that our work is not just about building models, but also about learning and having fun together.
We can offer you:
• Work on some very interesting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data Science colleagues in other specialist teams.
• Opportunities to have global impact with your work.
• Flexible and modern tools: we deploy on Google Cloud Platform and we use a lot of open source tools across the board.
• Hardware and OS of your choice.
• A team of great colleagues to learn with and from (with world-class experience across all aspects of Data Science).
• Continuous learning (we aim to spend 20% of our working time on learning).
• Flexible and friendly working environment.
• Relocation support (If Senior) if not already in the area: we are based in southern Sweden, Amsterdam in the Netherlands, and in Madrid, Spain.
Questions and support? Let's connect!
Does this sound like your next challenge? IKEA offers an exciting and empowering work environment in a global workplace. And as the world’s leader at life at home, you have exceptional opportunities to grow and develop together with us.
If you have questions regarding the recruitment system, please reach out to Annette Björkquist-Åhstedt at annette.bjorkquist-ahstedt@ingka.ikea.com. Please apply with your application in English.
As you know the holiday season is getting closer. We believe in a healthy work-life balance and encourage our co-workers to take time to relax, recharge, and unwind. Because of this great benefit we might take a bit longer to get back to you, we will be up and running in full capacity on the 10th of January next year and you should hear from us soon as possible. We look forward to learning more about you!
Thank you!