Responsibilities
• Identify important patterns in time-series data (trend, seasonality, regime changes, outliers, variance shifts)
• Write causal narratives explaining patterns from root cause to observable effect
• Ensure clarity and usefulness for AI training with structured, high-signal explanations
• Follow project guidelines and rubrics to maintain consistency and quality

Requirements
• Educational or professional background in Statistics, Mathematics, or Data Science
• Proficient in time-series analysis and forecasting (structural breaks, anomalies, lag effects)
• Excellent English writing skills with clear, structured, concise style
• Strong analytical judgment and ability to interpret data visualizations

Preferred
• Domain knowledge in Healthcare, Climate, Economics/Finance, Cloud Operations, or Transportation

How to Apply
Click "Apply" to be taken to the SME Careers website. The application process involves filling out your profile, completing an interview, and taking an exam for certain roles. If you pass, you will receive an email and your profile will be reviewed before being contacted for project onboarding. If you do not pass, you can redo the interview. Payments are made weekly once work is approved.