Senior Data Scientist

Responsibilities

• Own business unit specific problem statements to deliver value using agentic AI workflows and domain LLMs
• Lead LLM research and fine-tuning, including foundational model evaluation and prompt optimization
• Develop evaluation frameworks, taxonomies, and frontier model buildouts
• Maintain knowledge graphs and embeddings for semantic search and reasoning
• Build inference engines for scalable, low-latency serving of tuned models and agentic workflows
• Collaborate with engineering teams to deploy scalable AI solutions in production environments
• Conduct experiments and benchmarks to ensure model performance and robustness

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field
• 5+ years of experience in applied machine learning or NLP
• Hands-on experience with LLMs, GenAI, or NLP at production scale
• Proficiency in Python and ML libraries such as PyTorch, TensorFlow, or Scikit-learn
• Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices

Preferred Qualifications

• Prior professional work on agentic AI systems

Benefits

• Comprehensive retirement savings plan (401K) with company match
• Medical, dental, vision, and long-term disability insurance
• Paid time off including vacation, sick leave, and family care responsibilities
• Incentive compensation eligibility for annual performance-based awards
• Access to Employee Assistance Programs and various tax-advantaged savings plans

About the Company

State Street is a global leader that helps institutional investors manage risk, respond to challenges, and drive performance and profitability. We are committed to fostering an inclusive environment where employees are empowered to reach their full potential through development opportunities and vibrant employee networks.