Senior Data Scientist

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. 

Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 22 countries. Every year, +200k merchants generate over 4B€ in sales through our platform and over 20M customers get their goods delivered in minutes.

Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.

What makes our ride unique? 

Our culture and strong values. 

Our career development philosophy. 

Our commitment to being a force for good.

We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.

YOUR MISSION 

We are looking for a talented and passionate Data Scientist to join the Data team in our Barcelona HQ.

Data Science, Machine Learning, and Experimentation are key drivers of Glovo’s customer engagement strategy. Data scientists own the core models that optimize Glovo’s user retention and loyalty. These include our recommendations and personalization engines, which drive millions of euros annually in incremental revenue. As a Data Scientist, you will have the opportunity to work on projects that directly impact Glovo’s ability to maximize user engagement, retention, and overall lifetime value.

THE JOURNEY

• Develop, test, and productionize predictive and prescriptive algorithms using state-of-the-art machine learning, statistical inference, and optimization models.
• Evaluate algorithms through controlled offline and online experiments.
• Contribute to building our models for personalized recommendations.
• Work in cross-functional teams across disciplines such as product, engineering and design.
• Guide and mentor junior team members to enable fast and impactful delivery.
• Act as a reference for system architecture, influencing key technical decisions and aligning model integration with the overall platform design, ensuring reliability, low latency, and smooth integration with product features.
• Stay on top of new technologies and industry trends in data science, customer analytics, and retention strategies.
• Promote best-in-class standards, taking inspiration from industry thought leaders.

WHAT YOU WILL BRING TO THE RIDE

• Deep theoretical and applied knowledge in at least one of the following areas: traditional machine learning, statistical modeling, causal inference and deep learning.
• Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes:
• Strong data modeling and SQL skills.
• Familiarity with orchestration tools (Airflow, Luigi, Dagster) and cloud infrastructures (GCP, AWS, Azure).
• Extensive experience using the Python ML and DS ecosystem.
• Excellent verbal and written communication in English, as you will use it to collaborate with stakeholders and senior management from diverse backgrounds.
• Working knowledge of agile development.
• Change management skills and adaptability in a fast-paced environment.
• Strong presentation skills in communicating with experts and non-experts alike.

GOOD TO HAVE:

• Experience in building recommendation systems a