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Senior Data Scientist

Bestseller



Join BESTSELLER TECH, an innovative and forward-thinking division of one of the world’s leading fashion companies. Our mission is to blend cutting-edge technology with the world of fashion, creating ground-breaking solutions that drive our business forward.
We are currently embarking on an ambitious project to revolutionize fashion forecasting and planning through advanced AI technologies and therefore we are seeking an experienced Senior Data Scientist to join our new AI Fashion Planning team.

YOUR TEAM
By joining our AI Fashion Planning team, you will be at the forefront of developing state-of-the-art AI solutions for some of BESTSELLER’s most strategically important projects. Our goal is ambitious: to ensure we have the right products on stock at the right time and at the right location all year long.

YOUR ROLE

  • Develop and implement advanced machine learning models for fashion demand forecasting.
  • Analyze large datasets to extract meaningful insights and inform forecasting strategies.
  • Collaborate with cross-functional teams to understand business needs and deliver effective AI solutions.
  • Continuously research and stay updated on the latest AI and machine learning technologies relevant to fashion forecasting.
  • Present complex data and forecasts in a clear and understandable manner to stakeholders.

YOUR BENEFITS

  • You will be working in one of the world’s largest fast fashion companies, and our AI Fashion Planning team is at the forefront of innovation.
  • In BESTSELLER TECH we care about you – and therefore working remote is a part of our culture.
  • You will experience a manager who has great confidence and trust in you and your abilities and who gives you the opportunity to develop.

YOUR PROFILE
If you’re passionate about creating value from machine learning applications, we’d love to hear from you! We're looking for someone with strong communications skills, excellent problem-solving abilities who pays attention to detail. Other qualifications to succeed in the role are:

  • A Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics or a related field.
  • 3-5 years of experience as a Data Scientist or Machine Learning Engineer.
  • Proven experience in machine learning, predictive modelling, and data analysis.
  • Strong programming skills in Python or R.
  • Strong experience in Databricks.
  • Experience with time-series analysis and forecasting methods.

CURIOUS FOR MORE?
Get a glimpse of what life is like in BESTSELLER TECH by following #bestsellertech on LinkedIn.

WE LOOK FORWARD TO HEARING FROM YOU!
If you have questions about the position, you are welcome to reach out to Jakob Blaavand on +45 21 68 49 41. Otherwise, please send us your application as soon as possible and no later than 1 January 2025.
We review applications on an ongoing basis and reserve the right to take down the ad when we find the right candidate.

ABOUT BESTSELLER TECH
We are more than 300 people strong, located in Denmark and in Spain. We are excited about what we do, but there’s more to us than our tech stack. We are young at heart and thrive in a flat organization. Our teams are agile and empowered with end-to-end responsibility. We want to be at the forefront of the newest technologies, and we move forward together. Every day. If you want to play a significant part in empowering our business, then welcome to BESTSELLER TECH. BESTSELLER TECH is part of the worldwide fashion company BESTSELLER. For more information, please go to www.bestseller.com.

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Application deadline 01 January 2025
NewTech & AI
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Bestseller

Fredskovvej, 7330 Brande

BESTSELLER is an international, family-owned fashion company with a strong foundation. With a range of more than 20 individual fashion brands, BESTSELLER provides fashion clothing and accessories for women, men, teenagers and children.

We accept unsolicited job applications: Apply through our webpages
We offer graduate programmes: Read more here
We perodically offer student internships

More info for this company

Graduate programme Talent demand All current jobs


https://jobbank.dk/en/job/2702534//
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