Data Scientist (m/f/x)

Atolls is the world’s largest community-driven shopping platform, active in 20+ markets. We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers. Our 1,000+ team across 10 countries builds products used every day at global scale, where you’ll have real ownership and see your impact.

Want to shape the destinations people rely on to shop with confidence? Keep reading.

About This Role

: We are looking for a Data Scientist to join our Community Data Team. In this role, you will build applied machine learning models and statistical analyses that help us understand how users discover, evaluate, and interact with deals across Atolls’ community platforms. You will work with rich behavioral data to solve real product and community challenges, from predicting churn to identifying what makes a deal resonate, helping us build smarter products and more useful shopping experiences.

Benefits

: At Atolls, we believe in nurturing both your professional and personal growth. Here’s what you can expect: A culture that values personal and professional development, with internal mobility opportunities. A supportive and open-minded team that embraces diverse perspectives and innovative ideas.

32 days of paid vacation plus your birthday off, giving you the time you need to recharge. A flexible hybrid working scheme to balance work and life. Access to a learning budget and internal training to help you grow in your role.

Mental health coaching to support your well-being. Regular global and local get-togethers to celebrate successes and build connections. The possibility of taking a sabbatical after three years with the company.

A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are.

that apply to all employees, with additional local

Perks

based on your location.

Responsibilities

: In this role, you will: Data Science & Modeling: Build and iterate ML models - Churn Prediction, Sentiment Analysis, Member Segmentation, and more — using Python (Pandas, NumPy, Scikit-learn, XGBoost). You will learn and grow through collaboration and code reviews, with the goal of taking independent ownership of models over time. Deep-Dive Community Analytics: Analyze complex member behaviors - retention cohorts, engagement velocity, and viral loops — to uncover insights that drive community growth.

" - engage with domain experts, and turn them into something measurable and actionable. High-Performance SQL: Master our ClickHouse environment, writing optimized queries that leverage columnar storage to process billions of rows of interaction data. Your Profile: We're looking for someone with experience in writing complex SQL, investigating web/app event data, and building predictive models in Python, who is dedicated to creating exceptional user experiences and driving innovation.

We hire for aptitude and drive above depth of experience. If you have the right foundation and the right mindset, we want to hear from you. ", talk to the right people, and figure out what to actually measure.

For us, this matters most. Intellectual honesty : You don't trust your own results just because they look good. You check anyway.

This is something we won't compromise on. Drive and curiosity : You want to get it right. You dig in, try things, and hold yourself to a high standard, not because someone asks you to, but because that's just how you work.