Lead Data Scientist / ML Engineer - Remote Role

Job description

• Designing and building hybrid ML models that combine supervised learning, time‑series forecasting, and NLP to extract insights from unstructured data like PDFs, fund memos, and regulatory filings.
• Adding explainability to models using techniques like SHAP, LIME, and feature attribution so outputs are transparent and human‑readable.
• Building scalable data pipelines across off‑chain fundamentals, on‑chain activity, and macro benchmarks.
• Integrating data from sources like FRED, PitchBook LCD, Securitize, Centrifuge, Maple, and TrueFi, with strong data lineage and freshness guarantees.
• Developing anomaly detection and reconciliation tools across issuer, administrator, and blockchain datasets.
• Creating evaluation frameworks to measure accuracy, confidence intervals, latency, and data quality.
• Backtesting model outputs against historical NAVs, secondary‑market trade...