(Senior) Data Scientist Prescriptive Analytics (f/m/x)

DOUGLAS

DOUGLAS stands as Europe's leading omnichannel premium beauty destination, inspiring customers with a unique assortment across approximately 1,850 stores and online platforms. At its core, the company focuses on enhancing the customer experience through a robust omnichannel strategy and data capabilities. With a revenue of 4.1 billion euros and a workforce of around 18,000 individuals, DOUGLAS continually aims for growth and innovation.

In this role you can expect to have the responsibilities:

• Serve as the primary contact for intricate marketing analyses and inquiries.
• Aid in the interpretation of various attribution models, including first-click and multi-touch.
• Translate attribution and marketing mix model results into presentations and dashboards.
• Develop and implement approaches for the interplay of experiments, attribution, and marketing mix modeling.
• Design, execute, and evaluate experiments, deriving actionable recommendations.
• Ensure a hypothesis-driven, KPI-supported approach for experiments in collaboration with business teams.
• Communicate insights to teams and management.
• Support enablement and onboarding related to attribution, MMM, and experiments.

This role comes with the following benefits:

• Individual work equipment.
• Mentoring program and E-learning platforms for personal development.
• 30 days of vacation annually.
• Hybrid working model balancing mobile work and office days.
• Employee discounts both online and in-store.
• Gym pass access.
• Access to on-site canteen, bistro, and free drinks.
• Motivating environment and regular company events.

This role requires you to have:

• Analytical degree in areas such as econometrics, economics, or statistics.
• Experience with attribution and media mix models.
• Proficiency in programming econometric models.
• Understanding of causality, incremental effects, and quasi-experiments.
• Business outcome-centric strategic mindset.
• Knowledge of data protection regulations, including GDPR.
• Strong communication skills and ability to influence stakeholders.

You would benefit from having:

• Proficiency in English, German is a plus.

DOUGLAS is committed to equal opportunities and diversity, encouraging applications from mothers, fathers, individuals with disabilities, and people from the LGBTQIA+ community.