Who we are looking forWe are looking for a Data Scientist, Vice President with a robust background in data science, machine learning, generative AI, agentic AI applications, advanced analytics, and model lifecycle management. The ideal candidate will bring 10+ years of experience designing, developing, and operationalizing AI/ML solutions that solve complex business problems at enterprise scale. This role requires deep technical expertise, strong analytical thinking, and the ability to collaborate across business, engineering, architecture, and governance teams to deliver secure, scalable, and responsible AI solutions.
Why this role is important to usThe team you will be joining is focused on delivering secure, scalable, and responsible AI/ML solutions that help solve complex business problems and advance enterprise data science, machine learning, generative AI, agentic AI, advanced analytics, and model lifecycle management capabilities.
What you will be responsible forAs a Data Scientist, Vice President, you will:
- Design, develop, and deploy machine learning, generative AI, and agentic AI applications to address high-value business use cases.
- Perform data exploration, feature engineering, model development, evaluation, tuning, and validation using structured and unstructured data.
- Build predictive, classification, NLP, large language model-based, and agentic AI solutions for enterprise applications.
- Partner with business stakeholders, product owners, engineers, and architects to translate business problems into scalable AI/ML solutions.
- Collaborate with engineering teams to productionize models and integrate them into enterprise platforms and workflows.
- Leverage cloud platforms and modern AI/ML frameworks to build and scale solutions in secure enterprise environments.
- Ensure compliance with enterprise standards for Responsible AI, model governance, testing, monitoring, explainability, and performance validation.
- Contribute to the development of reusable AI assets, experimentation frameworks, and best practices for deployment and lifecycle management.
- Communicate findings, recommendations, and risks clearly to technical and non-technical stakeholders, including senior leadership.
- Mentor junior team members and help drive best practices in data science and applied AI delivery.
What we value - These skills will help you succeed in this role
- Strong critical thinking, problem-solving, analytical, and decision-making skills.
- Deep technical experience in machine learning, statistical modeling, generative AI, agentic AI applications, and LLM-based solution development.
- Ability to collaborate effectively across business, engineering, architecture, and governance teams.
- Strong communication skills with the ability to present complex technical concepts in a concise and business-friendly manner.
- Commitment to Responsible AI, model governance, explainability, testing, monitoring, and performance validation.
Education & Preferred Qualifications- BS, B-TECH, MS, or Ph.D. degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative discipline.
- 10+ years of experience in data science, machine learning, statistical modeling, advanced analytics, generative AI, agentic AI applications, or related AI/ML solution development.
- Proficiency in Python and common AI/ML frameworks such as Scikit-learn, PyTorch, TensorFlow, Keras, or equivalent.
- Hands-on experience with NLP, LLMs, prompt engineering, embeddings, vector stores, retrieval-augmented generation (RAG), and agentic AI application patterns.
- Experience working with structured and unstructured data, feature engineering, model experimentation, and performance tuning.
- Experience with Azure and/or AWS for AI/ML development and deployment.
- Knowledge of data pipelines, APIs, and model integration patterns to operationalize AI solutions.
Additional requirements- Experience in financial services, risk, operations, investment analytics, or other regulated enterprise environments.
- Familiarity with Responsible AI, Model Risk Management (MRM), and enterprise governance controls for AI/ML solutions.
- Experience with Databricks, Spark, SQL, LangChain, LlamaIndex, or similar AI/ML engineering tooling.
- Experience building agentic AI applications, workflow orchestration, and enterprise AI platform capabilities.
- Familiarity with MLOps / LLMOps, CI/CD, model versioning, experiment tracking, and production monitoring.
- Experience mentoring teams and influencing technical direction across multiple initiatives.
Work RequirementSalary Range: $120,000 - $202,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
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