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As a Data Scientist at Inter IKEA, you will turn complex datasets into meaningful insights that shape IKEA’s strategic direction. You’ll design predictive models, perform exploratory and ad‑hoc analyses, and translate data findings into actionable recommendations. In this role, you’ll collaborate closely with fellow Data Scientists, Data Engineers, product teams, and a wide range of stakeholders to drive data‑informed decision‑making across the organisation. You will be part of creating solutions that enable IKEA to work more efficiently and cost-conscious. Exploring and utilizing different technologies and approaches to achieve the best result is a natural part of everything you do. With your data driven mindset you are a strong ambassador and driver for the data literacy and culture in Inter IKEA.
Job Responsibility:
Design, develop and maintain transparent, reproducible, reusable and generalisable data science products and services for your area or product
Contribute to the dissemination of methodologies, accelerators or algorithms created for specific models or analysis
Collaborate and communicate effectively with various departments to understand stakeholder needs and develop strategic solutions
Conduct one-off analysis to support rising business needs that need attention
Make sure that the insights and conclusions from data science are presented and easily understandable to other parts of the organisation
Support a culture of data-driven decision making across IKEA organisations
Work closely together with data engineers, architects, analysts, peers, and other relevant roles across IKEA as well as in your team
Keep up to date with the latest technology trends
Requirements:
Skilled in programming languages, technologies, and frameworks such as Python, PySpark, SQL, Databricks, and cloud environments preferably Azure
Proficiency in understanding diverse data structures and employing common data transformation methods to extract and utilize meaningful insights
Deep and comprehensive knowledge of statistical and machine learning methodologies paired with advanced data analytics and visualization skills
Minimum of 5+ years of experience in a similar role working in running business activities as well as in agile project environments
Minimum Master's degree in statistics, physics, mathematics, econometrics, computer science or related
Strong communication & presentation skills. Written & verbal in English
Embrace and implement modern development practices such as Agile methodologies and DevOps culture to streamline workflow processes
Ability to collaborate with others (including virtual) such as team members, stakeholders and suppliers to achieve goals, pro-active attitude
Ability to explain & present statistical and machine learning techniques to non-technical stakeholders and software engineers
Ability to understand the complexity of the IKEA business and the role of technology as an integrated part of the business