Data Scientist

Build similar-symbol models on aggregate trading data, including minimum-activity thresholds. Develop propensity models that score customers’ likelihood to adopt new products. Analyze content and in-app engagement data to identify drop-off and high-performing content.

4+ years in applied data science with models deployed to production. Strong Python and SQL skills; experience with scikit-learn, XGBoost/LightGBM. Knowledge of recommendation systems, clustering, and propensity/classification modeling.

Competitive salary package, share plan, company performance bonuses, and career development opportunities. Hybrid work and flexible working hours are offered.