Delivery Hero

3 days ago

Manager, Data Science, Dynamic Promo - Quick Commerce

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the Dynamic Promo data science squad for quick commerce, owning the technical strategy and roadmap while aligning with business goals. Translate ambiguous product and growth challenges into well-scoped data science work. Supervise the full ML lifecycle—from model design and evaluation to operationalization and monitoring—while applying classical ML and causal methods to improve promotional efficiency and revenue impact. Coach 4–7 data scientists and ML engineers and collaborate closely with product stakeholders.

Location: Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Define and own the technical strategy and roadmap for the Dynamic Promo squad aligned to business goals.
•Translate ambiguous business problems into well-defined data science work items for the team.
•Lead, mentor, and develop a squad of 4–7 data scientists and ML engineers.
•Supervise the Data Science lifecycle: model design, evaluation, operationalization, and performance monitoring.
•Collaborate with product counterparts to prioritize high-impact solutions and manage stakeholders.

Pay and Benefits

Equity and Bonus:Equity

Perks:Paid LeaveLearning BudgetParental LeaveGym MembershipLife InsurancePensionEquityCommuter BenefitsSabbaticalWellness Stipend

Key Requirements

•Extensive experience as a Data Science Manager with proven people-leadership track record.
•Deep theoretical and applied knowledge of classical machine learning and causal inference methods.
•Ability to define technical strategy and bring structure to complex, unstructured problem spaces.
•Expertise in A/B testing methodologies and statistical evaluation to measure business impact.
•Fluency in Python scientific stack (e.g., numpy, pandas, scikit-learn) and proficiency in SQL.

Experience:E-commerceRetailFast-moving tech

Skills:CommunicationMentoringStakeholder managementTechnical leadershipProblem structuring

Languages:English

Tech Stack:PythonNumpyPandasScikit-learnSQLGCPAWS

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: 3.4

Website LinkedIn Glassdoor

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Delivery Hero

3 days ago

Manager, Data Science, Dynamic Promo - Quick Commerce

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Berlin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Define and own the technical strategy and roadmap for the Dynamic Promo squad aligned to business goals.
•Translate ambiguous business problems into well-defined data science work items for the team.
•Lead, mentor, and develop a squad of 4–7 data scientists and ML engineers.
•Supervise the Data Science lifecycle: model design, evaluation, operationalization, and performance monitoring.
•Collaborate with product counterparts to prioritize high-impact solutions and manage stakeholders.

Pay and Benefits

Equity and Bonus:Equity

Perks:Paid LeaveLearning BudgetParental LeaveGym MembershipLife InsurancePensionEquityCommuter BenefitsSabbaticalWellness Stipend

Key Requirements

•Extensive experience as a Data Science Manager with proven people-leadership track record.
•Deep theoretical and applied knowledge of classical machine learning and causal inference methods.
•Ability to define technical strategy and bring structure to complex, unstructured problem spaces.
•Expertise in A/B testing methodologies and statistical evaluation to measure business impact.
•Fluency in Python scientific stack (e.g., numpy, pandas, scikit-learn) and proficiency in SQL.

Experience:E-commerceRetailFast-moving tech

Skills:CommunicationMentoringStakeholder managementTechnical leadershipProblem structuring

Languages:English

Tech Stack:PythonNumpyPandasScikit-learnSQLGCPAWS

Company Brief

Delivery Hero

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: 3.4

Website LinkedIn Glassdoor