Our client are a C2C platform that operate across Europe and North America, and are scaling their workforce as the brand gains momentum across the globe. A fantastic brand, they are fast becoming the market leader in their space, and after speaking with them you will understand why. Boasting a meritocratic and open culture, this company are forward-thinking in their approach to engagement, retention and internal development.

As the Manager of Data Science and Analytics for our Trust domain, you’ll use data to contribute to the platforms strategy and help ensure that our members trade safely and successfully. The Trust domain is focused on ensuring safety and security for the community. Three core pillars in the domain are member support (ensuring effective customer support), member safety (reducing spam, scam, etc.) and content quality.

In this role you will…

• Collaborate closely with leads of Business, Product and Engineering to drive the domain strategy with quarterly milestones set out for the product teams.
• Build and mentor a world-class team of analysts, data scientists, analytics engineers, and team leads.
• Provide mentorship and guidance to your team; inspire innovative thinking in the analytics space.
• Ensure that your domain is making quality data-driven business decisions by applying scientific methodologies, statistical inference, and machine-learning models.

About you…

• Demonstrated experience in data science and analytics, ideally in online marketplaces or classifieds.
• Demonstrated experience in management roles (preferably leading teams of 5+ members).
• A data-driven decision-maker with a track record of building successful product solutions and features.
• Knowledge of up-to-date analytical/data-science tools and methodologies.
• A conceptual thinker who builds strategies based on the bigger picture.
• Well-organised, with a collaborative attitude and a strong sense of ownership.
• Able to motivate and inspire others.
• Outstanding communication skills with both technical and non-technical colleagues.
• A Master’s degree in Applied Mathematics, Data Science, Computer Science, Economics, Statistics, Business, or another related field (equivalent working experience is also acceptable, and a PhD is an additional advantage).
• Willingness to travel to Europe frequently.

Benefits…

• Opportunity to join share options programme.
• Learning budget 10% from gross yearly salary.
• 30 working days of holiday.
• Remote workout classes.
• Mental- and emotional-health support from Mindletic.
• A daily allowance for ordering lunch.
• Monthly team-building events.
• Work anywhere in the EU for 90 days out of the year.
• Dog-friendly office.

Our client are adopting a hybrid workplace model. This means that you’ll spend Tuesdays and Wednesdays working from the office, and for the remainder of your time, you’ll be able to choose between either working from home or the office.