Senior AI Scientist

Vanguard Group, Inc.

$130K — $155K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum of five years in data science or analytical roles.
  • Strong experience with statistical and machine learning methods.
  • Experience with large language models, knowledge graphs, and generative AI.
  • Proficiency in Python and machine learning frameworks like TensorFlow and PyTorch.
  • Competence in cloud platforms, especially AWS, and AI services.

Responsibilities

  • Owns end-to-end design, development, and execution of predictive modeling initiatives.
  • Leads deep dive analytics to support data-driven decision making and mentors junior team members.
  • Establishes data quality standards for modeling and documents assumptions and limitations.
  • Partners with senior leadership to refine business processes and translate needs into analytics.
  • Guides research design and model evaluation, providing insights on performance and use.
  • Builds reusable tools and frameworks to enhance modeling efficiency and scalability.
  • Prepares and presents complex analytical findings to business leaders.

Benefits

  • Opportunity for professional development and mentorship.
  • Cross-functional collaboration with leadership and diverse teams.
  • Involvement in innovative projects leveraging advanced analytics.
  • Flexibility in participating in special projects and additional tasks.
Full Job Description
Responsibilities:
  • Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.
  • Establishes and enforces data quality standards for modeling use, including diagnosing data issues, documenting assumptions and limitations, and filling data gaps in ways that balance rigor, practicality, and risk.
  • Partners with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides research design, model evaluation, validation, and monitoring strategies, providing expert judgment on model performance, stability, and appropriate use. Serves as a trusted technical voice on cross-functional initiatives involving advanced analytics or machine learning.
  • Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community.
  • Prepares and delivers clear, insightful presentations with recommended actions. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.


Qualifications:
  • Minimum of five years of related work experience in data science or analytical roles. Strong experience utilizing statistical and machine learning methods required. Experience with large language models, knowledge graph and generative AI required.
  • Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and associated AI services and tools.
  • Strong stakeholder Management and excellent communication skills.

Special Factors

Sponsorship
Vanguard is not offering visa sponsorship for this position.

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