Wallapop is a Barcelona-based scale-up driven by the purpose of empowering people to embrace a more conscious and human way of consumption. We believe in a world where a collaborative economy is mainstream. This is what drives us.
Wallapop operates in Spain, Italy, and Portugal, offering a catalog of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.
Backed by top investors such as Accel, Insight Partners & Naver Corp we bring our total valuation to 690 million EUR and are embarking on our international journey with the aim to become the world’s best unique goods trading platform.
The Challenge
The Wallapop platform generates tons of data and, with a mature data infrastructure already in place, the area of Data Science and Machine Learning is gaining momentum. The team is experiencing significant growth and, with many initiatives down the road, the opportunities are endless.
As a Data Scientist in Wallapop, you will be working on the Data Science and Machine Learning initiatives aimed at improving the whole marketplace dynamics. This will include topics such as improving models that power users' main interaction point: Search. You will also look into various models that will help users discover new items through ranked Recommendations, Similar Items, and more.
You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop’s Data and ML Platforms.
Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop.
You will be part of a growing Data Science team within the Data & Analytics department (30+).
What You Will Do
What We’re Looking For
What Would Be A Plus
Do note that all our jobs are Barcelona-based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.
Wallapop is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.
We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.
Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following Perks & Benefits:
What does the hiring process for this position look like? **Please, note that all interviews take place remotely over hangouts.**
Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.
Task - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise and technical skills required for the role.
Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.
Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.
Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.
Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.