Senior Data Scientist - Thomson Reuters

Key Responsibilities

• Design, develop, and maintain end‑to‑end data pipelines for ingesting, cleaning, and integrating large, heterogeneous data sets from multiple law‑enforcement sources.
• Apply statistical analysis and machine‑learning techniques to detect patterns, anomalies, and emerging threats such as money laundering, fraud, and human‑rights violations.
• Create interactive visualizations and dashboards that translate complex analytical results into actionable intelligence for investigators.
• Collaborate with domain experts, software engineers, and federal partners to translate investigative requirements into scalable analytical solutions.
• Document methodologies, validate model performance, and ensure reproducibility and compliance with federal data‑security standards.

Requirements

• 5+ years of experience in data science or analytics, with a strong foundation in software engineering.
• Proficiency in Python (pandas, scikit‑learn, PySpark) and SQL for data manipulation and model development.
• Hands‑on experience building and deploying machine‑learning models, statistical models, and large‑scale data pipelines.
• Expertise in data visualization tools (e.g., Tableau, Power BI, Plotly) to convey insights to non‑technical stakeholders.
• Demonstrated ability to work autonomously in a mission‑critical environment, solving novel problems with minimal supervision.