Leads the execution of large scale, more complex analytics projects.
Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects.
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.
Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
Engages 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 test design, research design, and model validation.
Provides statistical consultation services.
Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
Prepares and delivers insight presentations and action recommendations.
Communicates complex analytical findings and implications to business leaders.
Participates in special projects and performs other duties as assigned.
Requirements
Minimum of eight years related work experience in analytical roles.
Experience with data wrangling required
Programming skills to access, transform and prepare large scale data for statistical modeling.
Experience utilizing statistical and machine learning methods required.
Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience.
Graduate degree preferred.
Technology Skills
GenAI, AI/ML, LLM, SLM, Deep Learning, AWS
Tech Stack
AWS
Benefits
Hybrid working model designed to enhance flexibility while enabling in-person learning, collaboration, and connection.