Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- Data Scientist leading complex analytics projects to drive data-informed business decisions. Collaborating with senior leadership at Vanguard to enhance analytical capabilities.
Responsibilities
- 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
- 8 years related work experience in analytical roles.
- Strong background in statistics, or equivalent experience with design of experiments, A/B testing, causal inference or quasi experimental methods.
- 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
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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