(Senior) Data Scientist Attribution & MMM (f/m/x)

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.

For our headquarter in Düsseldorf we are looking for you as

• You are the central point of contact for complex marketing analyses and handle corresponding inquiries
• You assist in the utilization and interpretation of various attribution models (e.g., first-click, last-click, multi-touch)
• You translate the results of attribution, MMM (Marketing Mix Modeling), and experiments into management-friendly presentations and dashboards
• You are the expert in the interplay of experiments, attribution, and MMM, developing the right approach for Douglas and implementing it collaboratively with tool providers and teams
• You are responsible for the design, execution, and evaluation of experiments
• You are accountable for interpreting the results of experiments and deriving actionable recommendations
• You ensure that experiments follow a hypothesis-driven and KPI-supported approach in close coordination with the business teams
• You communicate insights to teams and management
• You support enablement and onboarding regarding attribution, MMM & experiments and manage the change related to these topics
• Integration of insights from experiments into existing models & tools

• Successfully completed studies with an analytical focus, e.g., econometrics, economics, business administration, statistics, or similar
• Demonstrated experience with attribution and media mix models – both tool-based and self-modeled
• Extensive experience in programming econometric models
• Understanding of causality & incremental effects, as well as the implementation of quasi-experiments (when classical experiments are not possible)
• Strategic and results-oriented mindset with a focus on achieving business outcomes through data activation strategies
• Proficiency in data protection regulations, including GDPR
• Strong communication and interpersonal skills, as well as the ability to collaborate with various departments and influence stakeholders
• Strong empathy & communication skills
• Good English skills, German is a plus

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.

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!