Senior Data Scientist - Senior Manager

Job Description Officer - Senior Data Scientist (Overall 10 years of professional experience) Role Description We are seeking an Officer - Senior Data Scientist with deep expertise in applied machine learning andGenerative AI/LLM solutions, strong Python skills, and a track record of delivering models and experimentation into production-grade applications/platforms. This role will lead thedata science strategy, modeling approach, evaluation standards, and experimentation disciplinefor GenAI and ML use cases, partnering closely with AI/ML engineers, data engineering, and application/platform teams (including agentic application development). Candidates with experience shaping end-to-end solutions (problem framing modeling evaluation product ionization monitoring) and influencing architecture/design decisions are preferred. Roles & Responsibilities Lead end-to-end data science delivery across multiple initiatives:problem framing, hypothesis design, feature strategy, model development, evaluation, and iteration. Drive development and improvement ofML and GenAI solutions, including model selection, fine-tuning approaches (where applicable), and performance optimization. Define and implementevaluation frameworksfor ML/LLM systems (offline metrics, test sets, error taxonomy, regression testing, human evaluation loops). Provide DS leadership forRAG-based solutions(retrieval strategy, grounding, relevance quality, context optimization) and partner with engineering on implementation. Guide data science contributions toagentic applications: tool selection logic, planning/routing heuristics, guardrails, and measurable quality outcomes. Partner with AI/ML engineers and software/platform teams to transition models into production: packaging, APIs, monitoring, and continuous improvement. Collaborate with data engineers to define data requirements, data quality checks, preprocessing utilities, and feature engineering pipelines. Use cloud platforms (Azure preferred / AWS) to run experiments and support scalable training/inference using managed services where appropriate. Establish best practices for experiment tracking, reproducibility, documentation, and model governance. Communicate insights and recommendations to stakeholders translate business goals into measurable ML/GenAI objectives and technical plans. Mentor senior/junior data scientists lead reviews for modeling approach, evaluation design, and experiment results. Stay current on ML/GenAI advancements and recommend pragmatic adoption aligned with business and platform constraints. Core/Must have skills BS or Master's in Computer Science, Computer Information Systems, Engineering, Mathematics, or related field. 8 years overall experience with5 years hands-on Pythonfor applied data science/ML development. Strong knowledge ofmachine learning algorithms, model development lifecycle, feature engineering, and evaluation methodologies. Practical experience withLLMs/GenAI(e.g., GPT/BERT-class models), including prompt-based approaches and/or fine-tuning concepts. Strong understanding ofLLM evaluationand quality measurement ability to set up repeatable experimentation and regression testing. Experience partnering with engineering teams toproductionize models(deployment patterns, monitoring, iterative improvements). Hands-on exposure toAzure or AWSML/AI services and tooling. Excellent stakeholder management, communication, and cross-functional collaboration skills. Good to have skills Experience withprompt engineering, prompt routing strategies, and guardrails for enterprise LLM applications. Experience withDatabricksand/orAzure Machine Learningfor scalable experimentation and pipelines. Knowledge ofagent frameworks/patterns(e.g., orchestration, tool/function calling, memory) and how to measure agent quality. Familiarity with Docker/containerization and basic deployment concepts for DS assets. Experience with model risk, compliance considerations, and privacy/security patterns for GenAI (PII handling, prompt injection awareness). Work Schedule On-premise Keywords (If any) Senior Data Scientist, Generative AI, LLM, Applied Machine Learning, RAG, Agentic Applications, Python, Azure, Model Evaluation, Experimentation About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to .