Vanguard's data science strategy to increase internal company performance and gain competitive advantage.
Requirements
- 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.
- Creates alternative model approaches to assess complex model design and advance future capabilities.
- Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
- Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects.
- Translates requirements into an analytic approach.
- Evaluates new technologies and manages vendors engaged in big data analysis.
Responsibilities
- Assists and executes tactical plans to implement Vanguard's data science strategy to increase internal company performance and gain competitive advantage.
- Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making.
- Supports the continuous evolution and strategy of Vanguard's data science capabilities.
- Oversees and engages in 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.
- Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
- Oversees the execution of large scale analytics projects.
Other
- Minimum of ten years related work experience in analytical roles.
- Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience.
- Graduate degree preferred.
- Sponsorship Vanguard is offering visa sponsorship for this position.
- Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection.
