{"schemaVersion":"jobsearcher.job.v1","id":"49cd53e317ed2ef563473dd5","url":"https://jobsearcher.com/jobs/49cd53e317ed2ef563473dd5","canonicalUrl":"https://jobsearcher.com/jobs/49cd53e317ed2ef563473dd5","title":"Lead Data Scientist - Remote","description":"Artificial Intelligence & Data Talent Partner at Discovered MENA\r\nRemote Role\r\nWhat you'll be working on:\r\nDesigning 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\r\nAdding explainability to models using techniques like SHAP, LIME, and feature attribution so outputs are transparent and human-readable\r\nBuilding scalable data pipelines across off-chain fundamentals, on-chain activity, and macro benchmarks\r\nIntegrating data from sources like FRED, PitchBook LCD, Securitize, Centrifuge, Maple, and TrueFi, with strong data lineage and freshness guarantees\r\nDeveloping anomaly detection and reconciliation tools across issuer, administrator, and blockchain datasets\r\nCreating evaluation frameworks to measure accuracy, confidence intervals, latency, and data quality\r\nBacktesting model outputs against historical NAVs, secondary-market trades, and redemptions\r\nResearching and incorporating credit-risk signals (CDS spreads, recovery rates, default data, etc.)\r\nBuilding continuous learning loops using live market data and partner feedback\r\nWorking closely with Product and Engineering to ship models via APIs, SDKs, and dashboards used by traders, curators, and risk teams\r\nCollaborating with data providers, protocol teams, and fund administrators to improve coverage and signal quality\r\nPartnering with the CTO on long-term model governance, transparency, and AI ethics\r\nWhat I'm looking for:\r\n5+ years of experience in applied ML, quantitative finance, or credit-risk modeling\r\nStrong Python and SQL skills, plus experience with ML frameworks like PyTorch, TensorFlow, scikit-learn, or XGBoost\r\nSolid understanding of time-series forecasting, regression/classification, and probabilistic modeling\r\nHands-on experience with financial data (fixed income, private credit, or structured products)\r\nFamiliarity with blockchain and DeFi data, including smart contracts, token metadata, and on-chain events\r\nExperience deploying ML models into production (APIs, orchestration, or streaming systems)\r\nBonus to have\r\nBackground in credit analytics, NAV valuation, or structured credit\r\nExperience in quant research, fintech data science, or tokenized asset analytics\r\nExperience with NLP, vector databases, and LLMs / GenAI tools (OpenAI APIs, GPT-4, LangChain, HuggingFace, etc.)\r\nSeniority level\r\nMid-Senior level\r\nEmployment type\r\nFull-time\r\nJob function\r\nScience and Information Technology\r\nJ-18808-Ljbffr","company":"Discovered Mena","rawCompany":"discovered mena","city":"Millbrae","state":"CA","isRemote":true,"isActive":true,"createdAt":"2026-04-09T08:00:04.855Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"13-2051.00","title":"Financial and Investment Analysts","slug":"financial-and-investment-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Scientist - Remote","description":"Artificial Intelligence & Data Talent Partner at Discovered MENA\r\nRemote Role\r\nWhat you'll be working on:\r\nDesigning 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\r\nAdding explainability to models using techniques like SHAP, LIME, and feature attribution so outputs are transparent and human-readable\r\nBuilding scalable data pipelines across off-chain fundamentals, on-chain activity, and macro benchmarks\r\nIntegrating data from sources like FRED, PitchBook LCD, Securitize, Centrifuge, Maple, and TrueFi, with strong data lineage and freshness guarantees\r\nDeveloping anomaly detection and reconciliation tools across issuer, administrator, and blockchain datasets\r\nCreating evaluation frameworks to measure accuracy, confidence intervals, latency, and data quality\r\nBacktesting model outputs against historical NAVs, secondary-market trades, and redemptions\r\nResearching and incorporating credit-risk signals (CDS spreads, recovery rates, default data, etc.)\r\nBuilding continuous learning loops using live market data and partner feedback\r\nWorking closely with Product and Engineering to ship models via APIs, SDKs, and dashboards used by traders, curators, and risk teams\r\nCollaborating with data providers, protocol teams, and fund administrators to improve coverage and signal quality\r\nPartnering with the CTO on long-term model governance, transparency, and AI ethics\r\nWhat I'm looking for:\r\n5+ years of experience in applied ML, quantitative finance, or credit-risk modeling\r\nStrong Python and SQL skills, plus experience with ML frameworks like PyTorch, TensorFlow, scikit-learn, or XGBoost\r\nSolid understanding of time-series forecasting, regression/classification, and probabilistic modeling\r\nHands-on experience with financial data (fixed income, private credit, or structured products)\r\nFamiliarity with blockchain and DeFi data, including smart contracts, token metadata, and on-chain events\r\nExperience deploying ML models into production (APIs, orchestration, or streaming systems)\r\nBonus to have\r\nBackground in credit analytics, NAV valuation, or structured credit\r\nExperience in quant research, fintech data science, or tokenized asset analytics\r\nExperience with NLP, vector databases, and LLMs / GenAI tools (OpenAI APIs, GPT-4, LangChain, HuggingFace, etc.)\r\nSeniority level\r\nMid-Senior level\r\nEmployment type\r\nFull-time\r\nJob function\r\nScience and Information Technology\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T08:00:04.855Z","dateModified":"2026-04-09T08:00:04.855Z","hiringOrganization":{"@type":"Organization","name":"Discovered Mena","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"49cd53e317ed2ef563473dd5"},"url":"https://jobsearcher.com/jobs/49cd53e317ed2ef563473dd5"}}