Lead Data Scientist collaborating with teams to develop analytic solutions for financial services clients. Delivering insights and fostering relationships to drive B2B customer value.
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
Data Scientist Economist responsible for creating new economic indicators and analyzing macro/micro trends. Focused on the insurance sector with emphasis on client advisory services.
Senior Data Scientist III leading design and validation of AI - driven capabilities. Collaborating with engineers to create scalable, customer - facing solutions in the legal domain.
Senior Data Scientist II at LexisNexis developing AI - driven capabilities for legal technology. Designing and validating solutions using machine learning, NLP, and large language models for legal workflows.
Head of Data Strategy & Access at Method, connecting financial accounts to services. Drive critical data access negotiations with financial institutions while innovating the user experience.
Customer Data Lead overseeing client - specific data operations for CUBE's regulatory data services. Ensuring best - in - class data services across North America.
Advanced Data Scientist developing in - house and third - party analytical systems at Honeywell. Leverage AI - ML models and data mining techniques to enhance security insights.
Head of Analytics leading strategies for Customer Care and Shipping Analytics at Back Market. Focused on elevating customer satisfaction and operational efficiency through data - driven insights.
Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
Senior Data Scientist focusing on ML systems for Walmart's Trust and Safety. Collaborating on compliance models and overseeing the full model lifecycle.