Senior Data Scientist (Maternity Cover) - (Logistics, Workforce)

Delivery Hero
Berlin
Workplace: HybridContractFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Problem-solving","Collaboration","Communication","Engineering best practices"]

Join the Logistics team to build fast, reliable, and transparent last-mile delivery operations using large-scale data science. You’ll design modeling approaches, develop new ML solutions using techniques from machine learning, operations research, and statistics, and partner with data engineering to plan roadmaps. The role also involves automating model retraining and prediction generation with your squad, leveraging BigQuery, Spark, and SQL to turn data needs into business value.

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FursaFursa
Delivery Hero
Delivery Hero
2 days ago

Senior Data Scientist (Maternity Cover) - (Logistics, Workforce)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Join the Logistics team to build fast, reliable, and transparent last-mile delivery operations using large-scale data science. You’ll design modeling approaches, develop new ML solutions using techniques from machine learning, operations research, and statistics, and partner with data engineering to plan roadmaps. The role also involves automating model retraining and prediction generation with your squad, leveraging BigQuery, Spark, and SQL to turn data needs into business value.
Location: Berlin
Workplace: Hybrid
Employment Type: Contract
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Conceptualize modeling approaches for logistics challenges at scale with your squad lead and stakeholders.
  • •Innovate modeling solutions using machine learning, operations research, and statistics to drive business value.
  • •Pair-program to engineer solutions that automate model retraining and prediction generation.
  • •Collaborate on defining data needs and work with data engineering and tech teams on their roadmap planning.
  • •Process and analyze (semi-)structured data from the BigQuery data warehouse using Spark when needed.

Pay and Benefits

Perks:Learning BudgetEquityPensionLife InsuranceGym Membership

Key Requirements

  • •5+ years applying machine learning methods to real-world datasets.
  • •Fluency in Python and experience with scientific/visualization libraries (NumPy, pandas, scikit-learn, matplotlib, plotly).
  • •Experience solving regression and classification problems with statistical/linear/non-linear models and ensemble models (Random Forest, XGBoost, LightGBM, CatBoost).
  • •Knowledge of time-series forecasting, operations research, and statistics.
  • •Ability to write maintainable, best-practice code and work with Big Data platforms (BigQuery/Spark) and SQL.
Experience:5+ yearsLogisticsLast-mile deliveryBig dataMachine learning
Skills:Problem-solvingCollaborationCommunicationEngineering best practices
Languages:English
Tech Stack:PythonNumPyPandasScikit-learnMatplotlibPlotlyBigQuerySparkSQLRandom ForestXGBoostLightGBMCatBoost

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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