🛠 Tech Stack

💼 About This Role

You'll join the Data Science team within Customer Success to activate, maintain, and support clients by developing models and rules. You will fight financial crime by building risk prevention solutions using machine learning and big data technologies. This role allows you to work cross-functionally with global teams on cutting-edge risk management and fraud detection.

🎯 What You'll Do

• Understand and validate client data.
• Clean and preprocess data using shell scripts and Python/Java/Scala.
• Iteratively compute features and tune model parameters.
• Communicate findings to project managers and stakeholders.

📋 Requirements

• MSc or PhD in a quantitative field.
• Proficient in Machine Learning (training, testing, avoiding overfit).
• Knowledge of Big Data technologies (Spark, Hadoop).
• Proficiency in bash, Python, and either Java or Scala.

✨ Nice to Have

• Knowledge of tree-based algorithms (Random Forests, XGBoost, LGBM).
• Knowledge of Deep Learning algorithms.
• Knowledge of statistics or data visualization.

🎁 Benefits & Perks

• 🌍 Remote Work globally.
• 💻 Cutting-edge tech stack (ML, Big Data, Cloud).
• 🎓 Learning & Development opportunities.
• 🤝 Collaborative global team.
• 🏆 Impactful work fighting financial crime.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Assessment· 60 min
3. 3Team Interview· 45 min