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Senior Data Scientist - Dynamic Promotions

Delivery Hero — Germany · Posted ~21 hours ago

Senior Visa History ✓

Skills

Data science Causal inference Time series analysis Personalization A/B testing Uplift modeling Statistical modeling Machine learning Strong programming Production systems Python Time series

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Summary ✨ AI‑Generated

A Senior Data Scientist is sought to build and deploy advanced models for dynamic customer promotions in a high-scale digital commerce environment. You will work on causal inference, large-scale time-series problems, personalization, uplift modeling, and A/B testing, turning robust analytical approaches into production systems with measurable business impact. Strong programming skills and the ability to independently lead initiatives are essential.

Highlights

Lead high-impact data science initiatives involving causal inference, large-scale time series, personalization, and customer-facing experimentation. The role offers significant ownership, production deployment, and the opportunity to directly influence revenue and customer experience at global scale.

Description

Job DescriptionWe are on the lookout for a Senior Data Scientist, Dynamic Promo, to join Quick Commerce on our journey to always deliver amazing experiences. Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world. This is a role for a proactive individual who has already worked on causal inference, time series problems at scale, as well as user-facing personalization and is hungry to lead initiatives independently. You will drive hypotheses, run A/B tests on customer-facing uplift models, and bring robust causal and time-series architectures into production with real business impact. If you’re a strong coder with a hacker mentality and thrive in high-scale applied ML and econometric problems, we’d love to talk. Design, experiment, and deploy classical ML and uplift models (including personalisation) to measurably improve affordability perception and user experience at global scale.Independently lead end-to-end data science initiatives, from technical design and implementation to effective communication with business stakeholders.Drive experimentation: formulate hypotheses, analyze A/B tests, and turn insights into production-ready solutions for better targeting and incentive deployment.Apply advanced time series and causal inference techniques to model and forecast the supply and demand of incentives.Leverage live user signals and context to make affordability interventions more adaptive and dynamic.Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production.Contribute to the long-term vision of affordability intelligence and personalisation at QC, while delivering short-term wins that unlock measurable business impact.Mentor and inspire peers, raising the quality bar for Data Science in causal inference and personalization across the tribe.