Lead Data Scientist - Remote
discovered menaDenver (CO)
Lead Data Scientist - Remote
Posted today
discovered menaDenver (CO)
SENIORITY
Senior
About the role
Artificial Intelligence & Data Talent Partner at Discovered MENARemote RoleWhat you'll be working on: 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 filingsAdding explainability to models using techniques like SHAP, LIME, and feature attribution so outputs are transparent and human-readableBuilding scalable data pipelines across off-chain fundamentals, on-chain activity, and macro benchmarksIntegrating data from sources like FRED, PitchBook LCD, Securitize, Centrifuge, Maple, and TrueFi, with strong data lineage and freshness guaranteesDeveloping anomaly detection and reconciliation tools across issuer, administrator, and blockchain datasetsCreating evaluation frameworks to measure accuracy, confidence intervals, latency, and data qualityBacktesting model outputs against historical NAVs, secondary-market trades, and redemptionsResearching and incorporating credit-risk signals (CDS spreads, recovery rates, default data, etc.)Building continuous learning loops using live market data and partner feedbackWorking closely with Product and Engineering to ship models via APIs, SDKs, and dashboards used by traders, curators, and risk teamsCollaborating with data providers, protocol teams, and fund administrators to improve coverage and signal qualityPartnering with the CTO on long-term model governance, transparency, and AI ethicsWhat I'm looking for:5+ years of experience in applied ML, quantitative finance, or credit-risk modelingStrong Python and SQL skills, plus experience with ML frameworks like PyTorch, TensorFlow, scikit-learn, or XGBoostSolid understanding of time-series forecasting, regression/classification, and probabilistic modelingHands-on experience with financial data (fixed income, private credit, or structured products) Familiarity with blockchain and DeFi data, including smart contracts, token metadata, and on-chain eventsExperience deploying ML models into production (APIs, orchestration, or streaming systems) Bonus to have: Background in credit analytics, NAV valuation, or structured creditExperience in quant research, fintech data science, or tokenized asset analyticsExperience with NLP, vector databases, and LLMs / GenAI tools (OpenAI APIs, GPT-4, LangChain, HuggingFace, etc.)Seniority levelMid‐Senior levelEmployment typeFull‐timeJob functionScience and Information Technology
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