Officer - Senior Data Scientist (Overall 10+ years of qualified experience)

Role Description

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 of ML and GenAI solutions, including model selection, fine-tuning approaches (where applicable), and performance optimization.
Define and implement evaluation frameworks for ML/LLM systems (offline metrics, test sets, error taxonomy, regression testing, human evaluation loops).
Provide DS leadership for RAG-based solutions (retrieval strategy, grounding, relevance quality, context optimization) and partner with engineering on implementation.
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 with 5+ years hands-on Python for applied data science/ML development.
Solid knowledge of machine learning algorithms, mod

📌 Senior Data Scientist Hyderabad (India)
🏢 State Street
📍 India