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Data Scientist

Malmö, Skåne County - Explore location Marketing & Communication Full Time

Job description

Company description

IKEA is in a transformation journey with the aim to combine our home furnishing knowledge with modern digital technologies to enable an agile, relevant and personal experience for the many people. Some of the top priorities for digitalization of marketing communication is to enable effective creation and distribution of impactful, relevant and updated content across all channels and markets, while enabling collaboration with partners and external parties across the globe. To increase our impact and accessibility and lower waste, the ambition is to be data-driven, using analytics and intelligence for effective planning, executing, tracking and following up of marketing plans, to reach the many people and increase ROI.

To support the journey, we created a digital transformation team setting the direction, guidelines and processes including execution and governance of digital communications across IKEA entities and channels. As part of this journey we are now looking for a Data scientist to join our team.

Job description

As Data scientist, you will be part of a bold cross functional product team of digital entrepreneurs, UX designers, data scientists and engineers – jointly working on creating a better customer/coworker experience across IKEA and across channels.

You will embrace agile methodologies & be an ambassador for agile practices & product culture in your team and with transversal teams.

You are curious and open minded, naturally building bridges between teams. Unafraid of complex environments, you see them as an opportunity to clarify and simplify.

Your main responsibilities will be to :

  • Develop custom data models and algorithms to apply to data sets.
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Working together with your product team to decide on priorities and maximize the impact on the business.

  • You have 3-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science.
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • A drive to learn and master new technologies and techniques.
  • Excellent written and verbal communication skills in English, both spoken and written.

More Information

The location for this position is flexible; you could either work from our offices in Malmö or in Älmhult, depending on what suits you best.

Sounds interesting?

We look forward to receiving your application in English latest 14th of June 2021. Please note that we will be interviewing continuously, which means that we may close the application process earlier than stated if we find the right candidates.

If you have any questions about the role, please contact Hiring manager Emilie Bardou at about the recruitment process feel free to contact Recruiter Emil Gretland on +46 739599112.