Unternehmensbeschreibung
DOUGLAS is the number one omnichannel premium beauty destination in Europe. The company is inspiring customers to live their own kind of beauty by offering a unique assortment online and in around 1,850 stores. With unparalleled size and access to customers, DOUGLAS is the partner of choice for brands and offers a selected range of selective and exclusive brands as well as own corporate brands. The assortment includes fragrances, make-up, skin care, hair care, accessories as well as beauty services. Strengthening its successful omnichannel positioning while consistently developing superior customer experience is at the heart of the company’s strategy “Let it Bloom – DOUGLAS 2026”. The winning business model is underpinned by DOUGLAS’ omnichannel proposition, leading brands, and data capabilities. In the fiscal year 2022/23, DOUGLAS generated sales of 4.1 billion euros and employed around 18,000 people across Europe.
Sub-Headline
For our headquarters in Düsseldorf we are looking for you as
TASKS WITH IMPACT
* Use advanced statistical methods, machine learning algorithms and deep learning models to solve complex business problems and gain valuable insights.
* You will cover the entire lifecycle of ML models: from data pre-processing and feature engineering to training, validation and deployment.
* Create visualizations, diagrams and reports that are clear and compelling enough to engage both technical and non-technical stakeholders.
* Communicate analytical results clearly and develop exciting stories around your findings.
* Work closely with domain experts, data analysts and other stakeholders to understand business requirements and develop data-based solutions.
* Identify optimization opportunities and potential for automation in business and data science processes
* Provide strategic insights and data-driven recommendations to senior management that support business goals
* Support and encourage colleagues at junior and professional level through mentoring.
YOUR SKILLS
* You have a degree with a focus on data science, statistics or computer science or a comparable qualification.
* You have several years of experience in applying machine learning, deep learning or similar algorithms to business problems.
* You have a strong ability to make complex technical concepts understandable for different target groups.
* Your knowledge of programming languages such as Python or R as well as visualization tools such as Tableau or Power BI is at a high level.
* Experience in cloud technologies such as AWS, Azure or GCP would be an advantage.
* You are analytically strong and constantly looking for new ways to turn data-based insights into strategic action.
* You enjoy teamwork and sharing knowledge to support others in their development.
OUR BENEFITS FOR YOU
We want you to feel comfortable at your job. That’s why you’ll receive your own individual work equipment.
Your personal development: We want you to grow with us. Become part of our mentoring program, make use of our E-learning platforms and take advantage of many more individual development offers.
30 days of vacation per year
You like a hybrid working model? We offer a balance between mobile work and office days in a collaborative environment (average of 8 days/month)
Super Sale: Our employee discount for both online and in store is the cherry on the top. Not enough? More discount opportunities are available to you thanks to our corporate benefits.
️ You like fitness? Great! Then our gym pass is just right for you.
???? Canteen & bistro, as well as free drinks
A positive and motivating environment & celebration of successes
A positive and motivating environment & celebrating successes at regular company events such as DOClub, summer party, Women's Day, etc.
DOES THIS APPLY TO YOU?
Then become part of our international company and send your application including your earliest possible starting date and your salary expectations.
As an international employer, we stand for equal opportunities and diversity. Therefore, we welcome applications from mothers, fathers, people with disabilities and people from the LGBTQIA+ community. Please let us know if, for example, we should use a gender-neutral pronoun, if you need barrier-free access to our offices or if you want us to allow more time for the application process.
We can´t wait to meet you!
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