Working Student Data Science - AI and Internet of Things (all genders) at Beiersdorf AG
Hamburg, Hamburg, Germany -
Full Time


Start Date

Immediate

Expiry Date

28 May, 25

Salary

0.0

Posted On

28 Feb, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Internet, Wearables, Research

Industry

Information Technology/IT

Description

At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.
Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.

Working hand in hand with Data Scientists of our team in Research and Development you will gain experience in the following topics:

  • Support the data pre-processing and evaluation within projects on AI, Wearables and Internet-of-Things
  • Solving statistical problems and deriving solutions
  • Learn and apply Machine Learning methods to solve real word problems
  • Implement data analysis workflows and learn how to interpret the outcomes
  • Explain data through various visualization techniques and document result
Responsibilities

Working hand in hand with Data Scientists of our team in Research and Development you will gain experience in the following topics:

  • Support the data pre-processing and evaluation within projects on AI, Wearables and Internet-of-Things
  • Solving statistical problems and deriving solutions
  • Learn and apply Machine Learning methods to solve real word problems
  • Implement data analysis workflows and learn how to interpret the outcomes
  • Explain data through various visualization techniques and document results
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