Senior Data Scientist, Dynamic Promo - Quick Commerce

Delivery Hero
Berlin
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Independent leadership","Cross-functional collaboration","Experimentation","Problem-solving","Mentorship"]

Drive experiments and production-ready causal and time-series models to improve affordability perception and user personalization across Quick Commerce. Own end-to-end data science initiatives—from hypothesis through A/B test analysis and deployment of uplift models—while bringing robust architectures into scalable, observable systems. Partner with MLEs, engineers, and business stakeholders to deliver measurable targeting and incentive deployment impact at global scale.

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FursaFursa
Delivery Hero
Delivery Hero
1 day ago

Senior Data Scientist, Dynamic Promo - Quick Commerce

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Drive experiments and production-ready causal and time-series models to improve affordability perception and user personalization across Quick Commerce. Own end-to-end data science initiatives—from hypothesis through A/B test analysis and deployment of uplift models—while bringing robust architectures into scalable, observable systems. Partner with MLEs, engineers, and business stakeholders to deliver measurable targeting and incentive deployment impact at global scale.
Location: Berlin
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, experiment, and deploy classical ML and uplift (personalization) models to measurably improve affordability perception and user experience.
  • •Drive experimentation by formulating hypotheses, analyzing A/B tests, and turning insights into production-ready targeting and incentive solutions.
  • •Apply advanced time series and causal inference techniques to model and forecast supply and demand of incentives.
  • •Leverage live user signals and context to make affordability interventions more adaptive and dynamic.
  • •Own end-to-end data science initiatives, communicate with business stakeholders, and mentor peers to raise the quality bar for causal inference and personalization.

Pay and Benefits

Perks:Paid LeaveLearning BudgetParental LeaveGym Membership

Key Requirements

  • •5+ years of industry experience applying data science and machine learning in production for large-scale consumer-facing applications.
  • •Expertise in causal inference and uplift modeling for user targeting and intervention strategies, alongside time series analysis.
  • •Strong statistical foundations for distinguishing signal from noise in large-scale experimentation and A/B testing.
  • •Excellent engineering skills, including writing clean, maintainable Python and bringing ML models into production with observability and monitoring.
  • •Ability to lead independently and work cross-functionally with engineers and product stakeholders to translate business problems into DS solutions.
Experience:5+ years
Skills:Independent leadershipCross-functional collaborationExperimentationProblem-solvingMentorship
Languages:English
Tech Stack:PythonGCPAWS

Company Brief

Delivery Hero
Global online food-ordering and local delivery platform operating multiple regional brands (e.g., Foodpanda, Glovo, Talabat) across 50–70+ countries, supplying food and quick-commerce deliveries via marketplace and logistics services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
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Glassdoor: 3.4
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