Senior Data Scientist, Business Planning (Malmö)

WHO YOU ARE
We are looking for a Senior Data Scientist to join us in developing new revolutionizing ways for IKEA to build products that support strategic decision making and performance management. We are using cutting edge methodologies within cross-functional teams to keep IKEA leading in an exciting and fast-moving environment.
Our diverse and global team within Data & Analytics is growing even more and we would love to talk with you, if you recognize yourself in some of the following:
· Strong knowledge about and practical experience with machine learning models, especially in a commercial setting
· It’s a plus if you have experience in applying techniques like time series analysis, numerical optimisation, operations research, causal inference, Bayesian modelling, system dynamics, differentiable programming
· Broad knowledge of cross-functional digital product development principles and the importance of rapid validated learning cycles to optimise performance long term
· Broad knowledge of collaborative software engineering practices (Git, Agile, DevOps)
· Strong knowledge of SQL and Python for data processing and analytics
· A team player who takes ownership, builds cross-functional relationships with senior peers and loves sharing knowledge with more junior team members
· A curious world class problem solver who wants to keep learning
· Strong communication skills to share your findings and approaches with technical and business stakeholders
· An educational background in engineering, computer science, statistics, econometrics, or a related field
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
You’ll lead the transformation of IKEA into a more data-driven company by ensuring that data and insights are widely used in product teams in Group Digital to reinforce, alter, or largely impact decisions on business and product strategy.
As a Senior Data Scientist you will work closely together with Data Engineers, Data Analysts and others, in a product team to drive the development of data science products within the Business Support domain. You will perform predictive and prescriptive modelling and develop and deploy artificial intelligence and machine learning algorithms to reinvent and grow the IKEA business in a fast-changing digital world.
We would like your expertise to help us answer business questions like:
· Where should we open the next IKEA store to become more accessible to the many people?
· What will the IKEA store of tomorrow look like?
· How do we stay profitable while changing store formats and distribution methods?
· How can we build and use forecasting models to help steer our business?
· How do we get the most out of our commercial activities?
· How can we use data and analytics to enhance cost-consciousness in all our markets?
· How can we optimally distribute budget into our operations and developments?
· How should we price our services to help us reach our financial goals?
· How can we help top management with advanced analytics to steer the enterprise for optimal value creation?
And perhaps you have your own ideas on problems to solve? We are on a journey towards becoming a data-driven company and you will have the opportunity to help shape our path, based on your knowledge and experience.
OUR TEAM WITHIN IKEA
You will work in Data & Analytics together with other Data Scientists, Data Engineers, Data Analysts, Machine Learning Engineers, Data Stewards and Data Architects. Together you will be joining cross-functional teams consisting of colleagues from Technology, Product and Design from the business domain of Business Support. All of you together will be creating the best solutions to support strategic enterprise decisions, financial forecasting and business planning.
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. To facilitate our digital growth ambition, we are working in different locations world-wide. The home office for this role will be Malmö, Sweden, but we act as one global team and work together on global solutions.
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 solving business problems, but also about learning and having fun together.
WHAT WE CAN OFFER YOU
· Work on some exciting problems as described above, and you are encouraged to spot new opportunities or to collaborate with Data & Analytics 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
· Your choice between Mac and Windows
· A team of great colleagues to learn with and from (with world-class experience across all aspects of Data & Analytics)
· Continuous learning (we aim to spend 20% of our working time on learning)
· Flexible and friendly working environment in a truly value-based company
· Relocation support where applicable
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 role, recruitment process or other practicalities please reach out to Pietro Mattei at pietro.mattei@ingka.ikea.com. Please apply with your application in English. Note that we cannot process any applications through email. Thank you!