As part of the Delivery Hero Group, Glovo is the fastest-growing multi-category app in Spain, 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, operating in more than 1500 cities across 25 countries. We are proud to make a significant and valuable contribution to the strategic positioning of the Delivery Hero Group on the global market through our unique expertise.
Job DescriptionWe are on the lookout for a Data Scientist to join our Quick Commerce team on our journey to always deliver amazing experiences.
Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.
We are building the AI engine that helps vendors upload and update their catalog on our platform in the easiest and quickest way possible.
As a Data Scientist, you will work side-by-side with Data Engineers and Software Engineers to design, build, and deploy ML models that automate content creation and power a smarter product assortment.
This is a role for someone who has a strong background in applied ML, particularly in Computer Vision, and is hungry to build a reliable and scalable image recognition system. You will drive hypotheses, validate model accuracy, and bring ML-powered services to recognize and categorize products images into production with real business impact.
If you’re a strong coder with a problem-solving mentality and thrive in high-scale applied ML problems, we’d love to talk.
THE JOURNEY
Experiment, and deploy AI/ML models/Agents to automate products images recognition at scale.
Drive experimentation: formulate hypotheses, validate model performance , analyze business impact, and turn insights into production-ready models.
Develop and provide ML models to intelligently recognize products based on their images, extracting product details (like barcode, name), product categorization, etc.
Keep yourself up to date and apply state-of-the-art models (e.g., in NLP, deep learning, control vision, classification, LLMs/AI agents) to see what truly works best for us.
Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production.
Contribute to the long-term vision of products image recognition, while delivering short-term wins that unlock measurable business impact.
WHAT YOU WILL BRING TO THE RIDE
Bachelor's degree in computer science, information systems, mathematics, statistics, or a related field.
3+ years of professional experience as a Data Scientist focusing heavily on Computer Vision (CV).
Deep expertise in relevant frameworks (e.g., PyTorch, TensorFlow).
Proven experience with Object Detection, Image Segmentation, and Classification.
Experience with model versioning, tracking (MLflow, Weights & Biases), and ensuring models are deployable in production environments (Docker, Kubernetes)
Excellent communication skills, with the ability to clearly articulate complex technical problems and solutions to both engineers and business stakeholders.
Nice to have:
PhD in AI, Machine Learning, or a related field.
Experience integrating ML models into low-latency real-time API services.
Experience in fine tuning Large Language Models.
Familiarity with cloud platforms (GCP preferred).
Proven ability to design and scale ML systems under strict latency, throughput, and cost constraints, balancing innovation with operational excellence.
Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. 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:
- 🍔 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.
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!
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!
