Senior Data Scientist

Job Information

• Job Type Full time
• Work Experience 10+ years
• Industry IT Services
• Date Opened 09/29/2026
• City Washington DC
• State/Province Washington DC district of Columbia
• Country United States
• Zip/Postal Code 20004

About Us

BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.

Job Description

Job Title- Senior Data Scientist

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.

What You Will Bring:

• 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.

Technical Proficiencies:

• Frameworks: PyTorch, TensorFlow, JAX.
• Agent & LLM Orchestration: LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, LlamaIndex.
• Fine-Tuning & Ops: DeepSpeed, LoRA/QLoRA, vLLM, Triton Inference Server.
• Data & Vector Infra: Pinecone, Milvus, Weaviate, Spark, SQL.