11 дней назад
Senior Data Scientist (Retail Media)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Retail Media) (Python/Machine Learning): Building scalable data science and machine learning solutions for retail media products with an accent on advertising measurement, attribution, ROAS, and experimentation. Focus on designing causal inference and uplift modelling approaches, deploying production-grade models, and optimizing customer- and advertiser-facing products.
Location: Berlin, Germany
Company
is a European e-pharmacy developing digital health and retail commerce solutions.
What you will do
- Develop data science and machine learning solutions for the retail media product.
- Lead end-to-end initiatives from problem definition and experimentation through production deployment, monitoring, and continuous improvement.
- Partner with Product Managers, Engineers, and domain experts to turn business challenges into data-driven products.
- Design, evaluate, and improve machine learning models and experiments using complex real-world datasets.
- Develop retail media measurement and optimization approaches, including attribution, ROAS measurement, incrementality testing, causal inference, uplift modelling, and experiment design.
Requirements
- Senior-level experience in applied data science and machine learning, including building and deploying production models.
- Strong Python, SQL, statistical modelling, and large-scale data processing skills.
- Hands-on experience with marketing or advertising measurement, including attribution, ROAS, causal inference, incrementality testing, uplift modelling, matched-market approaches, and experimental design.
- Ability to take ownership of ambiguous problems and create structure in an evolving product area.
- Experience with Databricks, Spark, Azure, MLOps, experimentation and analytics frameworks, Git, and CI/CD.
Culture & Benefits
- Comprehensive onboarding through welcome days.
- Urban Sports Club membership package.
- Individual work-from-home arrangements where office presence is not required, including up to 20 days per year anywhere in the EU.
- Internal and external training opportunities for personal development.
- Employee discounts on over-the-counter, beauty, personal care, and nu3 products.
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