Data Scientist II - Global Watchlist

📋 Description

• Develop scalable analysis frameworks for DSCA clients.
• Bridge Watchlist R&D and DSCA for insights.
• Build dashboards and real-time monitoring for models.
• Drive closed-loop model improvements with feedback.
• Enhance end-to-end pipelines using Spark and Airflow.
• Collaborate with Product, Engineering, Compliance.

🎯 Requirements

• Education: BS in a quantitative field with 3–5 yrs, or MS/PhD with 1–3 yrs.
• Proficiency: Python and SQL; Spark and Databricks.
• Pipeline & Infra: Airflow; IaC (Terraform); AWS.
• Analytical: Stats, hypothesis testing, metrics (Precision, Recall, ROC-AUC).
• ML & Data Eng: Data curation, labeling, data-quality checks.
• Communication: Explain findings to R&D and stakeholders.

🎁 Benefits

• Remote work option.
• High-impact role bridging R&D and DSCA.
• Influence client onboarding and product.
• Collaborative, fast-paced culture.
• Equal opportunity employer.