Data Scientist – MarTech (Measurement & Optimization)

About the Position

Data Scientist – MarTech (Measurement & Optimization)

Barcelona, Spain

Full-time

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Shortlist

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About the Company

Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, dedicated to delivering 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.

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Responsibilities

• Own features and components end-to-end within MarTech measurement & optimization

  • Take ownership of models and features inside larger initiatives, from data exploration to production deployment
  • Contribute to defining success metrics and modeling approaches, with senior guidance on more ambiguous problem framings
  • Balance methodological rigor with business constraints and timelines

• Contribute to decision frameworks under ambiguity

  • Help translate marketing questions into structured, model-driven analyses
  • Operate in environments where experimentation is limited or infeasible, applying established methods across MMM, experiments, and observational analysis
  • Make and document assumptions explicitly, and flag their impact on decisions

• Support decision-making under uncertainty

  • Provide clear analyses despite imperfect measurement, articulating trade-offs and limitations
  • Identify conflicting signals (e.g., attribution vs incrementality vs MMM) and discuss them with senior team members
  • Ensure outputs are actionable and aligned with real business constraints (budget caps, pacing, channel dependencies)

• Apply methodological rigor and contribute to validation

  • Contribute to and apply frameworks across MMM, incrementality testing (geo experiments, synthetic control), bidding, and/or LTV
  • Apply validation strategies in the absence of ground truth (cross-method validation, backtesting, sensitivity analysis)
  • Follow team standards for statistical rigor, interpretability, and reproducibility
  • Participate in knowledge sharing within the chapter and team

• Communicate effectively with stakeholders

  • Translate modeling outputs into clear narratives for non-technical stakeholders
  • Communicate with squad-level stakeholders, adapting abstraction level appropriately
  • Address questions on model outputs with appropriate context and honesty about limitations

• Build production-grade systems

  • Develop reliable, maintainable solutions with good standards in testing, monitoring, documentation, and reproducibility
  • Work closely with Engineering and Product to deploy and improve systems
  • Ensure long-term usability of models as decision products, not just analyses

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Requirements

Core Skills

• Statistical, Causal & Predictive Foundations

  • Solid foundation in experimentation, causal inference, time-series, and predictive modeling. Experience applying these methods in real-world settings with noisy or biased data.

• Working Effectively Under Ambiguity

  • Make sound progress on partially-defined problems, escalating when blocked
  • Provide reasoned analyses under uncertainty
  • Recognize trade-offs between conflicting methodologies and signals

• Feature & Model Ownership

  • Track record of owning models and features from problem definition → modeling approach → production → adoption, with senior input on more open-ended initiatives.

• MarTech Domain Exposure

  • Working understanding of attribution, digital and offline channels, performance marketing, bidding, and budget allocation. Familiarity with incrementality, diminishing returns, and cross-channel interactions.

• Stakeholder Communication

  • Communicate statistical concepts to non-technical stakeholders
  • Present model results clearly and discuss limitations honestly
  • Build trust through reliable, well-documented work

• Engineering & Production Skills

  • Strong Python and SQL skills (e.g., BigQuery). Experience with modular design, testing, version control, and modern data/ML stacks. Exposure to agentic workflows (LLM-driven or tool-using agents) is a plus.

• Pragmatic Approach

  • Familiarity with methods such as uplift modeling, MMM, quasi-experiments, and survival models. Ability to apply established methods to deliver real business impact.

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We Offer

• 🍔 Monthly Glovo credits to satisfy your cravings!
• 🏊 Discounted gym memberships to keep you energized.
• 🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
• 👪 Enhanced parental leave, and office-based nursery.
• 🧠 Online therapy and wellbeing benefits to ensure your mental well-being.

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About the Company

At Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!

At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.