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

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