Data Scientist

  • Full-time

Company Description

You see things a little differently. So do we! We believe that what you 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.

Who we are

The world is changing and the IKEA business is changing with it. For IKEA though, one thing will always remain the same ─ our vision to create a better everyday life for the many people.

We will strengthen and develop our competences in order to meet the needs and dreams of the many people around the world. And to be accessible and relevant, wherever and whenever they wish to meet IKEA.

About IKEA Consumer & Market Insights (ICMI)

ICMI has the assignment to contribute to IKEA people making well founded decisions based on actionable and timely insights. ICMI delivers Consumer Insights, Strategy & Market Insights, and Brand & Range Insights. Each of these three areas develops and/or operates insight products to IKEA people across our value chain. As a Data Scientist, you will be part of the Data Engineering and Analytics chapter in ICMI.

Key responsibilities

As a Data scientist you work on the more complex data analytics challenges. You are involved in shaping the data sets needed for successful analysis and is comfortable with using at least one common programing language to work with data (i.e. Python, r or similar). You lead the creation of models based on the gathered data, and know how to develop, test and deploy analytical models in a modern cloud based environment, using code as infrastructure and containers as a natural part of your toolkit. You help communicate the results from analytics both inside and outside your product team and strive to show how data is helping the team fulfill the product vision.

You work with your product team every day, but especially data engineers and insight focused colleagues to provide the team with the analytics needed to efficiently deliver to the product roadmap.

You take your colleagues by the hand and you advise in understandable language what is needed to enable you and the team to use data in the most efficient way. You are regularly involved in workshops and brainstorms with users to determine large and small data opportunities and support the team to communicate product delivery with regard to data and analytics.

You will:

  • As a part of a product team facilitate the establishment of transparent, reproducible, reusable and generalisable data science products and services.
  • Design, develop and maintain data science models or algorithms, for your area or product.
  • Collaborate with other parts of the Product Team or area to understand needs of stakeholders and devise possible solutions.
  • Contribute to the dissemination of methodologies, accelerators or algorithms created for specific models or analysis.
  • Responsible to make sure that the insights and conclusions from models created by you are easily available to, and understood by other parts of the organisation.
  • Continuously improve existing models.
  • 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

Knowledge

  • 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, R, Julia, Stan, Tensorflow, Keras, Jupyter, Databricks, Azure ML, ADLS) and cloud environments (e.g. Azure, AWS, Google).
  • Proficiency with data modelling techniques and concepts incl. conventional databases (SQL, Oracle or related) as well as distributed technologies and graph databases

Capabilities

  • Ability to explain statistical and machine learning techniques to non-technical stakeholders and software engineers.
  • Can work in an agile product team with technology as a business tool translating requirements into solutions, balancing user experience, business needs and IT constraints.
  • Good interpersonal communication skills: active listening, coaching, and facilitating.
  • Ability to make complex situations and math simple, understood and embraced.

Motivation

  • Eager to take initiative and driven to achieve results with people.
  • Enjoy developing IKEA through innovation and by building relationships and networks.
  • Has a growth mind-set: curious to explore, eager to learn and finding better ways, as well as and energised by sharing.
  • Inspired by possibilities and opportunities digital and information technology bring to enable, transform and break new grounds.
  • Commitment to the users and customers with energy to champion their needs.

Required/ Relevant work experience

  • Master's degree or similar qualifications in statistics, physics, mathematics, econometrics, computer science or related.
  • Experience as a project member in agile project environments and methodologies as well in running business activities.
  • Preferred 3 years experience in equal or comparable position.
  • Experience from the business the Product Area is supporting and enabling.
  • Preferred: previous knowledge/experience of/in the IKEA retail system

 

Additional Information

Additional Information

This is a full time position (40h/week). Travelling may be required based on business needs. Please send your application – CV and motivation letter – by 15 March 2021.

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