Data Science Leader, IKEA

IKEA

Location:
Sweden, Älmhult

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

Lead Data Scientist role at IKEA to join the dynamic Data Science and Analytics team. This pivotal role will provide the opportunity to lead a central team of Data Scientists and Analytics experts and innovate the way we use data every day. Part of Range Experience department that supports and empowers customers to find their personal best home furnishing solutions through digital solutions.

Job Responsibility:

Lead a centralized team of Data Scientists and Analytics experts
Act as the central contact point and escalation role within the IKEA Data Science/Analytics community
Facilitate continuous improvement, collaboration, and sharing of methodologies, tools, and knowledge across the Data Science community at IKEA
Provide technical leadership, fostering a supportive and collaborative culture within the Data & Analytics organization
Collaborate and communicate effectively with various departments to understand stakeholder needs and develop strategic solutions
Ensure consistency through the support of relevant development techniques, digital frameworks, and best practices
Ensure insights and conclusions from data science are accessible to all parts of the organization
Promote and sustain a culture of data-driven decision-making throughout IKEA
Work closely with data scientists, data engineers, architects, analysts, and peers across IKEA
Remain up-to-date with the latest trends and advancements in technology
Be hands-on in the delivery and development of Data Science/Data Analytics digital products, ensuring quality assurance and testing of deliverables

Requirements:

Leadership and business development expertise in complex organizational settings
Deep and comprehensive knowledge of statistical and machine learning methodologies
Advanced data management and visualization skills
Proficiency in understanding diverse data structures and employing common data transformation methods
Skilled in programming languages, technologies, and frameworks such as Python, R, Julia, Stan, Tensorflow, Keras, Jupyter, Databricks
Experience with cloud environments including Azure, AWS, and Google
Expertise in applying data modeling techniques and concepts
Experience in distributed technologies and graph databases
Embrace and implement modern development practices such as Agile methodologies and DevOps culture
Proficiency in leveraging Databricks, Python, Pyspark, Tensorflow, Torch, Scikit-learn, PyMC, MLFlow, MLOps, Langchain, PowerBI, Plotly, and various Python libraries

Additional Information:

Job Posted:
November 14, 2025

Expiration:
November 27, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Science Leader

IKEA

Location:Sweden, Älmhult

Category:IT - Software Development

Contract Type:Employment contract