If you’re here, it’s because you’re looking for an exciting ride. 

A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone. 

We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together. 

YOUR MISSION

We are looking for a Product Data Scientist to join our Checkout  team in our HQ in sunny Barcelona. 

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.
• Owning everything analytics 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.

WHAT YOU WILL BRING TO THE RIDE

• 2-5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams
• Deep theoretical and applied knowledge in at-least one of the following areas: supervised and unsupervised learning, deep learning, reinforcement learning, game theory, statistical inference, bayesian statistics, causal inference, time series analysis, decision theory, mathematical optimisation
• Demonstrable experience with the application of statistical modelling and advanced analytics to provide product-shaping insights and drive decision-making
• A higher education in a scientific discipline such as Physics, Statistics, Computer Science, Mathematics or Economics.
• Knowledge and experience in digital product development and working with diverse stakeholders
• Good understanding of software development and agile methodologies
• Mastery in SQL and statistical programming (Python) and experience working with popular libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks
• Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc)
• Knowledge of visualization tools like Tableau, Looker, PowerBI
• Excellent spoken and written English

Nice to have:

• Having worked in a marketing context (Performance marketing and/or media space)
• Having experience in impact measurement of offline media is a big plus.

Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.

We believe driven talent deserves:

• 🌟 An enticing equity plan *if applicable 
• 💪 Top-notch private health insurance to keep you at your peak.
• 🍔 Monthly Glovo meal benefits so you can test new features in our beta app (and to satisfy your cravings!) 
• 💳 Discounts on transportation, food, and even kindergarten expenses or office-based nursery.
• 🏊 Discounted gym memberships to keep you energized.
• 🏖️ 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 (*if applicable) 
• 🧠 Online therapy and wellbeing benefits 

We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together. 

At Glovo, we truly value diversity for the positive impact it brings to our teams, products, and culture. We're dedicated to providing equal opportunities for talent from all backgrounds. 

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

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