Being a Data Scientist in the INSIGHTS team
As a Data Scientist in the Insights team, you will be responsible for analysing large amounts of data and creating predictive models to help us understand and influence customer behaviour and preferences. You will work closely together with other Data scientists, Data engineers, Product team(s) and other stakeholders. You will be part of creating solutions that enable customers to design any space in their homes and businesses and configure home furnishing solutions digitally. 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 IKEA Insights.
To be successful in this role
You are passionate about using data to analyse and develop dashboards and models that help our customers find the home furnishing solutions that best fit their needs.
You bring broad knowledge of modern applied algorithms (predictive and prescriptive) for extracting insights and making decisions based on data, a strength in statistics and general analytical knowledge. You make mistakes sometimes that keep you evolving and learning as you are not afraid to find new ways to solve a challenging task together with your colleagues.
You have a great interest in the world around you and keep yourself updated with the latest trends and future technology, just as we do.
To be successful in this role, the following knowledge, skills and experiences would be valuable:
● Minimum Master's degree in statistics, physics, mathematics, econometrics, computer science or related
● Comprehensive understanding of statistical and machine learning techniques
● Able to understand various data structures and common methods in data transformation
● Proficiency with an appropriate set of languages, technologies, and frameworks (e.g., Python, PySpark, Databricks, Azure ML, ADLS, MLFlow, Github) and cloud environments (e.g. Azure)
● Proficiency with data modelling techniques and concepts, CI/CD
● Preferably minimum 5 years’ experience in equal or comparable position
● Experience from the business that the product area (data) is supporting and enabling
● Experience as a project member in agile project environments and methodologies as well as in running business activities
● Ability to collaborate with others (including virtual) such as team members, stakeholders and suppliers to achieve goals, pro-active attitude
● Ability to explain statistical and machine learning techniques to non-technical stakeholders and software engineers
● Work with technology as a business tool and translate requirements into solutions, balancing user experience, business needs and IT constraints
● Ability to understand the complexity of the IKEA business and the role of technology as an integrated part of the business
You will also:
● Facilitate the construction of transparent, reproducible, reusable and generalisable data science products and services
● Research and develop models for data analysis
● Design, develop and maintain data science models and infrastructures, for your area or product.
● Communicate results and ideas to key decision makers
● Contribute to the dissemination of methodologies, accelerators or algorithms created for specific models or analysis
● Make sure that the insights and conclusions from data science are easily available to other parts of the organisation
● Support a culture of data-driven decision making across IKEA organisations
● Continuously improve existing models and environments
● Work closely together with data engineers, architects, analysts, peers, and other relevant roles across IKEA as well as in your team
● Ensure application and consistency with relevant digital frameworks, principles, guidelines, and standards
● Document and make the operational know-how of the data science models available to the IKEA ecosystem
● Keep up to date with the latest technology trends
● Assure quality and contribute to testing of deliverables
This role is full-time (32 - 40 hours per week) and can be based in Delft, Netherlands. Please send us your application (CV and motivation letter in English) on or before Friday 20th September 2024.
Please note that we always recruit based on values, competence, your potential and diversity.
