Data Scientist, Atolls

• 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
• Problem translation: You can take something vague like "what makes a deal good?", 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
• Solid Python skills and familiarity with core data science libraries (Pandas, NumPy, Scikit-learn) — you can actually build, not just describe
• Sound understanding of ML and statistics fundamentals — core models, train/validation/test splits, overfitting — enough to learn fast under guidance
• Solid SQL skills — comfortable with CTEs, window functions, and writing efficient queries
• At least one self-built, end-to-end project on a messy or open-ended problem — where you had to figure out what "good" meant yourself, not follow a tutorial

Desirable

• We are looking for a Data Scientist to join our Community Data Team
• At Atolls, you will be part of a growing applied ML capability — working on real problems that have a direct impact on how millions of users discover and interact with deals every day
• You will build and iterate models that go into production — from predicting churn to understanding what makes a deal resonate with a community
• We have rich behavioral data, a strong domain, and a clear belief that applied ML is one of the key ways we stay ahead
• Beyond model building, you will also dig into complex statistical analyses and define the metrics that help us truly understand our users
• At Atolls, your role will be instrumental in helping us lead our community intelligence and data integrity efforts
• As a key part of our team, you will be directly involved in shaping the intelligence behind the digital destinations our users rely on throughout their shopping journeys
• Your work will help us understand our community better, build smarter products, and make sure millions of consumers can make good, fair, and rewarding choices
• 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
• Problem Translation: Take fuzzy, real-world business questions - like "what makes a deal good?" - 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

• TA Call: Meet one of our Talent Experts and get to know Atolls better
• Technical Round: Focus on the technical aspects of the role (Through a Live Case), and meet your potential manager
• Final Round: Meet other Atollians 🏝️
• It varies from 1 to 3 interviews
• *Some processes might slightly change according to needs