Staff Data Scientist, Dmarts - Quick Commerce

Delivery Hero
Berlin
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 9+ yearsSkills: ["Communication","Stakeholder influence","Collaboration","Strategic thinking"]

Build and productionize forecasting algorithms for quick-commerce operations using machine learning, statistical inference, and optimization models. Develop recommendation models, define ML strategy and long-term architecture, and guide teams on reliability and stability. Partner across product, engineering, and design to shape customer and vendor experiences for millions of daily orders, while evangelizing ML/DS best practices and keeping pace with new industry techniques.

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FursaFursa
Delivery Hero
Delivery Hero
2 months ago

Staff Data Scientist, Dmarts - Quick Commerce

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and productionize forecasting algorithms for quick-commerce operations using machine learning, statistical inference, and optimization models. Develop recommendation models, define ML strategy and long-term architecture, and guide teams on reliability and stability. Partner across product, engineering, and design to shape customer and vendor experiences for millions of daily orders, while evangelizing ML/DS best practices and keeping pace with new industry techniques.
Location: Berlin
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, test, and productionize forecasting algorithms using machine learning, statistical inference, and optimization models.
  • •Build personalized recommendation models to improve product discovery.
  • •Own ML platform technical strategy and long-term architecture, guiding teams on ML strategy and integration.
  • •Collaborate with cross-functional teams across product, engineering, and design.
  • •Define and evangelize ML/DS best practices, standards, and frameworks across related domains while monitoring new technologies and trends.

Pay and Benefits

Equity and Bonus:Equity
Perks:Learning BudgetParental LeavePaid LeaveEquityPensionGym Membership

Key Requirements

  • •9+ years of data science experience designing end-to-end data workflows, including at least 5 years in forecasting techniques or optimization.
  • •Proven track record building or scaling ML platforms across the full lifecycle.
  • •Experience defining and implementing ML best practices and standards at scale.
  • •Strong programming skills in Python and Docker, plus cloud experience with AWS or GCP.
  • •Deep operational knowledge of AI frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs.
Experience:9+ yearsData scienceMachine learningForecastingOptimizationAILLMs
Skills:CommunicationStakeholder influenceCollaborationStrategic thinking
Languages:English
Tech Stack:PythonDockerAWSGCPTensorFlowPyTorchLLMsAirflowKubeflowMLflow

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
Glassdoor
Glassdoor: 3.4
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