As a Data Scientist, you will support the organisation in leveraging data. This you will do in many ways; by supporting business stakeholders in understanding the potential of and what is needed to unlock the power of data science, by being engaged in the community of data scientists across the organisation, creating and disseminating best practices, frameworks, and accelerators across the organisation.
We work in a modern cloud-based Azure environment, and you will be a part of the community continuously developing our data science and machine learning capabilities. You take your colleagues by the hand, and you constructively advise what is needed to enable efficient use of data to reach the organisation's goals. You are regularly involved in activities and meetings with stakeholders to determine large and small data opportunities and support teams regarding data and analytics.
More specifically, in this role you will be accountable to:
In this role, you will report to our Data & Analytics manager at IKEA Supply and work closely with the Data Science network of expertise. Leading towards increased uniformity and commonality, contributing to the Inter IKEA Digital framework and delivering on the needs of IKEA Supply.
Are you looking for the challenge of your life? Come on board!
We are on the journey to transform our digital capabilities, bringing core business processes, people, data & technology together — an enabler for IKEA to become an even better home furnishing company in the future. A journey that requires passionate people who embrace change, dare to question and want to make a difference. If that sounds like you, come and join us. Together, we can do great things!
We’re doing some amazing things in IKEA Supply chain; therefore, we need some amazing people – this position is not an exception.
To be successful in this role, we see that you have experience in building data models with a proven track record. We believe you can inspire, set and mobilize people towards objectives. You are curious and able to build relationships to establish strong trust between the Supply Data & Technology community and its stakeholders. You should also be able to make advanced technical solutions understood and embraced by both technical and non-technical co-workers. Leadership and business development experience from complex organisations is to your advantage.
We expect you to have a very good knowledge of digital working methods, in particular project and program management, with the relevant experience and track record. You have knowledge in modern development and deployment techniques such as Agile, DevOps and MLOps and a comprehensive understanding of statistical and machine learning techniques, as well as data management and visualisation techniques. You have proficiency with an appropriate set of languages, technologies, and frameworks (e.g., Databricks, mlflow, PyTorch, TensorFlow, Keras and Azure ML) and cloud environments (e.g., Azure, AWS, Google). Most likely you have a graduate degree or similar higher qualifications in statistics, physics, mathematics, econometrics, computer science or related. Software engineering experience from large projects, as well as experience with fine-tuning, embeddings and APIs for LLMs is a further merit.
You enjoy building a purposeful business by creating engaging and trustful relationships with colleagues, stakeholders, and business partners. As a person, you are appreciated for collaborative spirit and how you lead with strong focus on both technology and people. You create impact and inspiration regardless of function or formal reporting lines.
The IKEA culture and values are crucial for 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 or just watch this video: https://bit.ly/ikea-what-if
This position is located in Malmö, Sweden or Pratteln, Switzerland. Please note that we do only handle applications in English and no applications coming in by email. We look forward to receiving your application at the latest 16th of October 2024.
For any clarifications about the role, please reach out to Alexander Funcke, Data Science Leader, [email protected], or Robert Pernetun, IKEA Supply Data & Analytics Manager, [email protected]. For questions about the recruitment process feel free to connect with Dan Gustafsson, [email protected], People & Culture Leader.