COMPANY DESCRIPTION
DOUGLAS is the leading omnichannel provider of premium beauty in Europe. The company inspires its customers to live their own kind of beauty by offering a unique assortment online and in around 1,850 stores. DOUGLAS is the partner of choice for brands and offers a selected range of exclusive brands as well as its own corporate brands. The range includes fragrances, make-up, skin care, hair care, accessories and beauty services. The corporate strategy “Let it Bloom - DOUGLAS 2026” focuses on strengthening the successful omnichannel positioning and the consistent further development of the customer experience. The successful business model is based on DOUGLAS' omnichannel offering, leading brands and data expertise. In the 2022/23 financial year, DOUGLAS generated sales of 4.1 billion euros and employed around 18,000 people across Europe.
TASKS WITH IMPACT
* Contribute to the Douglas Analytics Strategy: Develop and define requirements for the development environment for advanced analytics and machine learning.
* Develop and Implement Machine Learning Models: Work on cutting-edge algorithms such as Generative AI in close collaboration with data scientists and engineers.
* Take Ownership of Machine Learning Models: Manage ML use cases at Douglas, including responsibility for development, optimization, and continuous improvement of the models.
* Support Scaling and Operationalization: Ensure ML models meet operational and business requirements in production environments.
* Stay Updated on ML and Big Data Trends: Apply new techniques and tools to improve workflows and processes.
YOUR SKILLS
* Education: A degree in Computer Science, Machine Learning, or a related field.
* Experience: Several years in ML engineering, data engineering, or a similar role focused on developing and deploying large-scale machine learning models.
* Model Development Expertise: Strong ability to develop and adapt machine learning models to business needs.
* Technical Proficiency: In-depth knowledge of ML frameworks and programming languages, especially Python.
* Data Engineering Knowledge: Strong understanding of data engineering tools and technologies, including big data frameworks.
* Cloud Expertise: Experience with cloud platforms.
YOUR BENEFITS
Your personal development: we want you to grow with us. Become part of our mentoring program, use our e-learning platforms and benefit from many other individual development opportunities.
Open feedback culture: half-yearly meetings & performance reviews (#DOUGLASDialogue)
30 days of vacation per year
Would you like a hybrid working model? We offer a balance between mobile working and office days in a collaborative environment. (approx. 8 days/month)
Cherry on top: You get our employee discount both online and in-store. On top of that, you get further discount opportunities thanks to our corporate benefits.
In-house canteen & bistro, as well as free drinks
A positive and motivating environment & celebrating successes at regular company events such as DOClub, summer party, Women's Day, etc.
DO YOU RECOGNIZE YOURSELF?
Then become part of our international company and apply, stating your salary expectations and possible starting date.
As an international employer, we stand for equal opportunities and diversity. We therefore 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 we should allow more time for the application process.
We look forward to hearing from you!
Job Reference: HQ01588
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