Senior Applied Scientist | Senior Applied Scientist (All Genders)
Zalando SE
Job Summary
This Senior Applied Scientist role is integral to the Consumer Insight & Segmentation team at Lounge by Zalando, focusing on leveraging advanced data science to significantly improve customer experience and marketing efficacy. The core mission involves advancing the Machine Learning infrastructure to enable sophisticated customer lifecycle communication, determining optimal content, timing, and audience using a mix of ML, experimentation, and causal inference techniques. Day-to-day responsibilities include mentoring mid-level scientists and analysts, developing novel long-term research solutions such as Uplift Modelling, and translating scientific methods into comprehensive, reproducible code. Candidates must possess a Master's degree or higher in a quantitative field, coupled with at least five years of experience in Machine Learning and causal inference, preferably within CRM or Personalisation. This position is highly attractive for experts looking to drive end-to-end implementations, solve complex real-world business problems, and directly impact customer communication strategy.
Required Skills
Education
Masters or higher degree in Data Science, Statistics, Econometrics, Computer Science or a similar field
Experience
- At least 5 years of work experience in the field of Machine Learning and causal inference
- Professional experience in CRM and/or Personalisation (preferred)
- Strong ability in solving real-world problems throughout the product cycle
- Experience with developing and applying Uplift Modelling and Next Best Actions in the context of customer communication
Languages
Additional
- Mentor mid-level Applied Scientists and Senior Data Analysts; Proactively identify areas of improvement and drive end-to-end implementations; Fostering collaboration and providing support to the team.
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