Data Scientist Intern, IKEA

Data Scientist Intern

IKEA

Location:
China, Shanghai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We deliver sustainable, extraordinary growth by creating a new, unique, inspiring and convenient meeting with the customers. We deliver a multi-channel experience that adds value to the many people and inspires a home furnishing movement.

Job Responsibility:

Provide business insights by conducting descriptive analysis, modern data mining techniques and visualization tools to help business stakeholders make better decisions
Build machine learning algorithms to support the forecasting, prediction, segmentation, and recommendation for IKEA business
Build operation research algorithms to support IKEA logistic operations

Requirements:

Currently pursuing a Bachelor or Master Degree in economics, statistics, maths, engineering, natural sciences or related majors is preferred
Part-time interns who can commit at least 3 working days a week
Internship should last for more than 3 months
Good command of SQL for data processing and analysis
Good command of programming languages (e.g. Python, Java), including concepts from functional and object-oriented programming paradigms
Good knowledge of data mining techniques, including regression, tree model, neural network, NLP
Nice to have knowledge of Operation research theory, including linear programming models, non - linear programming
Be familiar with the OR use cases, including resource allocation, transportation problems, assignment model
Good interpersonal skills with the ability to collaborate, network, and build strong relations with team members and stakeholders
Fluent spoken and written English, CET6 is required
Need to adapt to the English working environment

Nice to have:

Operation research theory, including linear programming models, non - linear programming
Be familiar with the OR use cases, including resource allocation, transportation problems, assignment model

Additional Information:

Job Posted:
May 14, 2025

Employment Type:

Parttime

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