Senior Data Scientist

BB Insights • Washington DC, SC

19d • Onsite

About The Position

The Senior Data Scientist will contribute to the development of proprietary foundation models and domain-specific fine-tuning, including PEFT and RLHF, to address high-stakes business challenges. The role will engineer multi-agent orchestrations, autonomous reasoning loops, and tool-calling workflows that use advanced RAG for complex, multi-step problem solving. It will also drive the creation of curated and synthetic datasets and ensure data integrity for model pre-training, alignment, and benchmarking at scale. The position is onsite in Washington, DC, five days per week, and focuses on agent frameworks and use cases suited to FinTech.

Requirements

• Advanced degree (PhD or Master’s) in Computer Science or a quantitative field from a world-class institution.
• Proven track record delivering high-impact AI solutions at top-tier technology firms, AI research labs, or leading management consulting practices.
• At least 3 years of specialized experience in LLM development, including autonomous agent design, foundation model architecture, and production-grade RAG pipelines.
• Experience with PyTorch, TensorFlow, and JAX.
• Experience with agent and LLM orchestration frameworks: LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, and LlamaIndex.
• Experience with fine-tuning and operations tools: DeepSpeed, LoRA/QLoRA, vLLM, and Triton Inference Server.
• Experience with data and vector infrastructure: Pinecone, Milvus, Weaviate, Spark, and SQL.

Responsibilities

• Contribute to end-to-end development of proprietary foundation models and domain-specific fine-tuning, including PEFT and RLHF.
• Engineer multi-agent orchestrations, autonomous reasoning loops, and tool-calling workflows integrated with advanced RAG.
• Drive the synthesis of curated and synthetic datasets.
• Ensure data integrity for large-scale model pre-training, alignment, and benchmarking.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior