Data Scientist, Specialist

Performs deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.

Core Responsibilities

1. Develops queries and performs extensive programming to access, transform, and prepare data for statistical modeling.

2. Performs deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.

3. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.

4. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.

5. 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.

6. Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business partners.

7. Participates in special projects and performs other duties as assigned.

Qualifications

• Minimum of three 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.

How We Work

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. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.