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.
Job DescriptionYOUR MISSION
As a Product Data Scientist in the Discovery Group, you will be at the heart of how millions of users interact with Glovo every day. You will leverage product analytics and rigorous experimentation to optimize the core user funnel and shape how customers find and order food, groceries, and retail items.
In this role, you’ll work across high-impact domain areas including Search, Restaurant Listings, Recommendations, and Ads Monetization. You will turn complex user behavior into actionable product discoveries, set a high bar for our experimentation culture, and build data-driven solutions that directly shape the global product roadmap.
THE JOURNEY
Leverage advanced statistical modeling and machine learning techniques to solve for product and business problems that drive the highest impact.
Work closely with multi-disciplinary teams to define the product roadmap and strategy, monitor and give visibility of product metrics and KPIs.
Drive product discovery, formulate data-driven hypotheses and convert them into analysis and actionable insights.
Own analytics tasks end to end in the product development cycle: from ideation and opportunity sizing to experimentation and post-launch impact analyses.
Foster strong relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.
Qualifications
WHAT YOU WILL BRING TO THE RIDE
3-4 years of professional experience outside of an academic and internship setting, in a quantitative analysis role and in product facing teams
Demonstrable experience with the application of statistical modeling and advanced analytics to provide product-shaping insights and drive decision-making
Deep theoretical and applied knowledge in statistical inferences. Demonstrated experience in designing and analyzing large-scale experiments in digital products (A/B test, multivariate, etc).
Mastery in SQL and Python for Data Science.
Good spoken and written English
Nice to have:
Knowledge of visualization tools like Tableau, Looker, PowerBI.
Applied knowledge in causal inference, and advanced experimentation techniques.
A higher education in a scientific discipline such as Physics, Statistics, Mathematics, Engineering or Econometrics.
We believe driven talent deserves:
🌟 An enticing equity plan (dependent on level) that lets you own a piece of the action.
💪 Top-notch private health insurance to keep you at your peak.
🍔 Monthly Glovo credit to satisfy your cravings!
💳 Discounts on transportation, food, and even kindergarten expenses.
🏊 Wellhub membership to keep you energised.
🏖️Flexible 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.
📚 An external learning budget to fuel your thirst for knowledge and personal growth.
Additional information
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.
Here 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?
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.
Here 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!
Skills Required
- 3-4 years professional experience in quantitative analysis within product-facing teams
- Experience applying statistical modeling and advanced analytics to drive product decisions
- Deep knowledge of statistical inference and experience designing/analyzing large-scale experiments (A/B, multivariate)
- Mastery in SQL
- Mastery in Python for Data Science
- Good spoken and written English
- Knowledge of visualization tools (Tableau, Looker, PowerBI)
- Applied knowledge in causal inference and advanced experimentation techniques
- Higher education in Physics, Statistics, Mathematics, Engineering, Econometrics or similar
Delivery Hero Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Delivery Hero and has not been reviewed or approved by Delivery Hero.
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Wellbeing & Lifestyle Benefits — Wellbeing and everyday support include on-site gym access in Berlin, discounted sports memberships, commuter help, and food vouchers, with hybrid flexibility enhancing day-to-day experience. Feedback suggests these lifestyle perks meaningfully bolster the total package for many corporate roles.
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Healthcare Strength — Mental health and preventive care are emphasized through an Employee Assistance Program, a Headspace subscription, and on-campus health check-ups, with guidance for navigating healthcare in Germany. Some locations also highlight private health insurance, adding depth to the health offering.
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Equity Value & Accessibility — Ownership programs feature an employee stock purchase plan with a matching component, and equity is common across corporate roles. Feedback suggests this accessible equity can be a notable part of total compensation in key hubs.
Delivery Hero Insights
What We Do
As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you’re from or what you believe in, we build, we deliver, we lead. We are Delivery Hero
