Data Scientist

We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including Marktplaats in the Netherlands, mobile.de in Germany and leboncoin in France, reach hundreds of millions of people every month. 

We’re all about matchmaking, and our sites help people find whatever they’re looking for in their local communities – whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less. 

Our brands are supported by global Tech Hubs in Barcelona, Amsterdam, Paris and Berlin. Their goal is to develop common global products and innovation platforms which all of our brands can use. This means using cutting edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage our access to global data.

What you’ll do ​& Who you are

We are looking for a Data Scientist to join Subito’s team. Our mission is to build data-powered services to make Subito a smarter product. 

The Data Scientist will leverage advanced analytics techniques and statistical modelling, collaborate with cross-functional teams to develop innovative solutions to business problems 

Your typical day:

• Manage the end-to-end lifecycle of a Machine Learning model in Subito: design, implement, test and deploy in production.

• Push forward the ML practice finding new use cases, testing new techniques and incorporating best practices

• Ensure observability and support on the existing models in production

• Formulate hypotheses and design experiments to prove the value of your models in production

• Design clear, automated reports to democratise data access to the whole company

• Get to know and help design our data ake to extract as much value as possible and to better model our business 

Your Identikit:

• 6+ years of experience in Data-related jobs of which at least 3 years as Data Scientist

• Highly proficient with Python 

• Hands on experience in designing, training and deploying ML models

• Highly proficient with data extraction tools (SQL, Spark…)

• Experience in applied statistical techniques

• Experience with software development tools (Docker, Git, Cloud infrastructure, …)

Nice to have:

• Data visualization and presentation skills to communicate complex findings in a clear and concise manner

• Good English proficiency level

• Prior experience in a digital company

• Experience with ML Ops tools (Kubeflow, MLflow, CI/CD, …)

Benefits

• Competitive compensation package

• Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organisation

• Benefits including stock purchase plan and annual bonus plans

• Flexibility to work when and how you want - flexible hours, autonomy to set your own agenda, choice of phone and computer

• Smart Working Policy - work remotely some of the time, balanced with time in the office together with your team - between 5 and 45 days per quarter in the office depending on each team.

• ‘Work from anywhere’ weeks - up to four weeks working from anywhere, as long as you have an internet connection!

• Career development, including language classes and Adevinta Academies: specialised content built by our experts on Machine Learning, Agile, Leadership and more

For each working day, you will be eligible for a €8 meal voucher., You can use our local provider Fitprime to maintain physical well-being., You will receive 250 euros on the welfare platform after the birth of your child

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.