Delivery Hero
Internet
SeniorDataScientist–MarTech(Measurement&Optimization)
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“Senior Data Scientist – MarTech (Measurement & Optimization) at Delivery Hero. Skills: causal inference, modeling, measurement, optimization, budget allocation, incrementality measurement, bidding, production-grade solutions. Own end-to-end initiatives. Shape problem definitions in ambiguous contexts”
What You'll Achieve.
Drive performance marketing efficiency; Deliver scalable modeling; Build solutions for budget allocation, incrementality measurement, and bidding; Enable the business to invest each euro where it generates the highest impact; Drive decision-making through rigorous models; Deliver production-grade solutions; Ensure outputs are actionable and aligned with real business constraints; Drive adoption of model-based decisions; Deliver real business impact
Industry & Context.
Shape problem definitions in ambiguous contexts; Translate ambiguity into decision frameworks; Convert vague marketing questions into structured, model-driven decision systems; Make and justify assumptions explicitly, and assess their impact on decisions; Navigate conflicting signals (e. g. , attribution vs incrementality vs MMM)
What They're Looking For.
Must Have
Python and SQL skills, Experience with production-grade practices: modular design, testing, CI/CD, version control, modern data/ML stacks., Experience leveraging agentic workflows (LLM-driven or tool-using agents) to scale data science tasks.
Nice to Have
foundation in experimentation, causal inference, time-series, and predictive modeling, Experience applying these methods in imperfect real-world settings with noisy or biased data, Operate without clearly defined problem statements, Make sound recommendations under uncertainty, Balance conflicting methodologies and imperfect signals, Track record of owning problems from open-ended business question → modeling approach → production system → business adoption, Deep understanding of attribution, digital and offline channels, performance marketing, bidding, and budget allocation., Experience dealing with incrementality, diminishing returns, and cross-channel interactions in practice., Communicate complex statistical concepts to non-technical stakeholders, Drive adoption of model-based decisions in environments with competing narratives, Build trust in data products over time, Up-to-date with methods such as uplift modeling, MMM, quasi-experiments, and survival models, Ability to translate advanced methods into scalable systems that deliver real business impact, not just theoretical improvements
What You'll Do.
Own end-to-end initiatives
Shape problem definitions in ambiguous contexts
Drive decision-making through rigorous models
Design solutions that serve the entire Delivery Hero portfolio
Own end-to-end marketing measurement & optimization solutions
high-impact problem spaces from problem framing to production
Define success metrics and modeling approaches when requirements are not clearly specified
Balance methodological rigor with business constraints and timelines
Translate ambiguity into decision frameworks
Convert vague marketing questions into structured
model-driven decision systems
Operate in environments where experimentation is limited or infeasible
and triangulate between MMM
and observational methods
Make and justify assumptions explicitly
and assess their impact on decisions
Drive decision-making under uncertainty
Provide clear recommendations despite imperfect measurement
articulating trade-offs and confidence levels
Navigate conflicting signals (e. g.
attribution vs incrementality vs MMM)
Ensure outputs are actionable and aligned with real business constraints (budget caps
channel dependencies)
Lead methodological design
Design and evolve frameworks across MMM
incrementality testing (geo experiments
Establish robust validation strategies in the absence of ground truth (cross-method validation
sensitivity analysis)
Set standards for statistical rigor
Drive internal & external knowledge sharing across Delivery Hero and industry.
Drive adoption and stakeholder alignment
Translate complex modeling outputs into clear narratives for non-technical stakeholders
Communicate with stakeholders ranging from squad ICs to tribe leadership
adapting abstraction level appropriately
Handle pushback on model outputs and build trust in methodologies over time
Build production-grade systems
maintainable solutions with high standards in testing
Work closely with Engineering and Product to deploy
and continuously improve systems
Ensure long-term usability of models as decision products
How You'll Work.
Team & Collaboration
Work closely with Engineering and Product to deploy, scale, and continuously improve systems; Communicate with stakeholders ranging from squad ICs to tribe leadership, adapting abstraction level appropriately
Communication Scope
Translate complex modeling outputs into clear narratives for non-technical stakeholders; Communicate with stakeholders ranging from squad ICs to tribe leadership, adapting abstraction level appropriately; Communicate complex statistical concepts to non-technical stakeholders
Process & Methodology
Own end-to-end initiatives, Lead ambiguous, high-impact problem spaces from problem framing to production, Balance methodological rigor with business constraints and timelines, Track record of owning problems from open-ended business question → modeling approach → production system → business adoption
Full Job Description
Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. The MarTech Data Science team drives performance marketing efficiency through advanced measurement, optimization, and scalable modeling. We operate in a highly complex and ambiguous environment where: * Ground truth is often unobservable (incrementality vs attribution) * Clean experimentation is not always feasible * Decisions must be made under uncertainty with imperfect data We build solutions for budget allocation, incrementality measurement, and bidding, enabling the business to invest each euro where it generates the highest impact. YOUR MISSION We are looking for aSenior Data Scientist to own end-to-end initiatives, shape problem definitions in ambiguous contexts, and drive decision-making through rigorous models. Operating at a global level, you will design solutions that serve the entire Delivery Hero portfolio, including brands like Glovo, Talabat, and PedidosYa. This role requires strong causal inference and modeling expertise, combined with the ability to influence stakeholders and translate complex marketing problems into robust, production-grade solutions. THE JOURNEY Own end-to-end marketing measurement & optimization solutions * Lead ambiguous, high-impact problem spaces from problem framing to production * Define success metrics and modeling approaches when requirements are not clearly specified * Balance methodological rigor with business constraints and timelines Translate ambiguity into decision frameworks * Convert vague marketing questions into structured, model-driven decision systems * Operate in environments where experimentation is limited or infeasible, and triangulate between MMM, e
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