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Data Scientist - Range Selection Tool

https://www.ikea.com Logo

IKEA

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Location:
Sweden, Malmö

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The job as Data scientist is a data and insights assignment in the Range Selection Tool data foundation area. Range selection tool is used by most of IKEA stores in the whole IKEA franchise system and the data foundation in order to offer the best possible range (recommendation engine on store level) for the stores are for example sales data, demographic data, sematic data and other data sources.

Job Responsibility:

  • analyze various data structures and common methods in data transformation in the range selection data foundation
  • apply statistical and machine learning techniques on the data
  • work with the dissemination of methodologies, accelerators or algorithms created for specific models or analysis
  • continuously improve existing models and environments
  • responsible to make sure that the insights and conclusions from data science are easily available to other parts of the organization are well communicated and understood
  • explain statistical and machine learning techniques to non-technical stakeholders and software engineers
  • assure quality and contribute to testing of deliverables
  • has a growth mind-set: curious to explore, eager to learn and finding better ways, as well as and energised by sharing
  • collaborate with Product Team or area to understand needs and devise possible solutions
  • support a culture of data-driven decision making for Retail Concept Operations business domain

Requirements:

  • experienced data scientist with minimum 3-5 years of experience
  • comprehensive understanding of statistical and machine learning techniques
  • ability 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)
  • proficiency with data modelling techniques and concepts incl. conventional databases (SQL, Oracle or related) as well as distributed technologies and graph databases
  • used to do research and to develop models for data analysis
  • proven ability to facilitate the construction of transparent, reproducible, reusable and generalizable data science products and services
  • ability to design, develop and maintain data science models and infrastructures, for your area or product
  • good in communicating results and ideas to key decision makers
  • ensure application and consistency with relevant digital frameworks, principles, guidelines, and standards
  • up to date with the latest technology trends in the data science field

Additional Information:

Job Posted:
April 29, 2025

Expiration:
May 12, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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