Data Scientist

As Data Scientist, you will build analytical systems consisting of both data processing and machine learning modelling pipelines. You will put these systems into production and maintain them on our analytical platform. This job is less about doing small scaled experimental analysis and more about scaling up by putting analytical systems into production and having them frequently updated with large amounts of data. How exciting is that!
Be a part of the innovation, together with other data scientists, data engineers, UI developers and project leaders who work in several parallel projects using agile methods to develop analytical systems together with our internal business users.
About the business
The specific project that you will be assigned to could be related to any of following areas
• Price sensitivity analysis of products and services
• Product portfolio optimization
• Sales and life cycle understanding of products
• Product and service price optimization
• Product similarity analysis

About you
We believe you are a team player who can collaborate with other data scientists while still being able to focus on individual work. You have a passion for data science and we want you to have a few years of experience from building, applying and maintaining systems of machine learning models into a production environment. For this job you need a combination of knowledge in statistics, software development, business knowledge and skills in handling billions of rows of data. We think that you have done this before and are now ready for a new challenge and are eager to show us how you would do it! It is important that you can communicate with other colleagues and explain complex data science topics.
Qualifications
• A few years of experience working as data scientist
• Experience in Building models, deploying and maintaining them in a production platform
• Deep knowledge of statistical analysis and probabilistic modelling
• Coding knowledge in R or Python and SQL
• Academic degree in statistics, mathematics, econometrics, computer science, engineering or similar
Good To Have
• Experience from working in a cloud environment
• Experience from distributed computing such as Spark
Additional information
Please send your application – CV and letter of motivation – in English by Nov 12th, 2022. We really want to get to know you, so make sure you tell us why you want to work as Data Scientist at INTER IKEA and why you would be a good fit for this role. We are also curious in knowing; what is your passion in analytics.
If you have questions regarding the position, please contact the Hiring Manager, Katarina Hansson at katarina.hansson@inter.ikea.com. If you have questions regarding the recruitment process, please contact Recruitment Specialist Nichole Syjueco at Nichole.syjueco@inter.ikea.com.
Company Description:
You see things a little differently. So do we! At IKEA, we believe that your value is more important than what your CV says. We offer positions that will challenge your skills and let you grow. Come see things a little differently with us. We think, differently. Act, differently. And work differently as well. We like to break things. Like rules. And then make things. Like music-playing lamps. And beds disguised as sofas. Even plant balls that help us look after our planet. It's all part of our vision - to create a better everyday life for the many. And it's been keeping our co-workers going for over 75 years. By 2030, we hope to help millions more look forward to going home. Maybe you can help us?
IKEA is about making things better. All the way from the factory floors to the homes of the many people. We have a passion for renewing and improving things. This is part of our DNA. But how do we know what's better or what to improve? By unleashing the full potential of data about and around our products, internal and external. It is about taking quicker and better decisions with facts as a base - going from a reactive way of working to a more proactive and prescriptive way of working - enabling people to focus on value adding tasks. We need to start somewhere as change is happening fast. Machine learning and other advanced analytics tools have a learning curve, the more we practice, the better we get. It's about exploiting opportunities where we have data right now, exploring areas where more data can be captured, and drive value where we need to build new capabilities. We are now concentrating resources in a central function for building up capabilities and competence within advanced analytics.
Come and join us as our Data Scientist in the advanced analytics team working as part of IKEA to create a better everyday life for the many people.