> Markdown version of [/jobs/ext/4388578-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/4388578-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Blackbuck Insights LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Integrity, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Information Technology - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=189b0706091415e3 ## About the Role * Distinguished Academia: An advanced degree (PhD or Masters) in Computer Science or a quantitative field from a world-class institution. * Elite Industry Pedigree: A proven track record of delivering high-impact AI solutions at top-tier tech firms, AI research labs, or leading management consulting practices. * Deep Generative AI Mastery: 3+ years of specialized experience in LLM development, including the design of autonomous agents, architectural design of foundation models, and production-grade RAG pipelines. ## Description Location- Washington DC Onsite- 5 days Primarily we are looking for Sr Data Scientist who have good experience with Agents and related frameworks & use cases fit for FinTech. What You Will Do: * Develop Foundation Models: Contribute to the end-to-end development of proprietary foundation models and domain-specific fine-tuning (PEFT, RLHF) to solve high-stakes business challenges. * Architect Agentic Systems: Engineer sophisticated multi-agent orchestrations, autonomous reasoning loops, and tool-calling workflows that integrate advanced RAG for complex, multi-step problem solving. * Engineer High-Fidelity Data: Drive the synthesis of curated and synthetic datasets, ensuring data integrity for large-scale model pre-training, alignment, and benchmarking.