Senior Decision Scientist (Experimentation & Decision Enablement)

The Vanguard Group • Charlotte, PA

11h • Hybrid

About The Position

At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. 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.

Requirements

• Undergraduate degree (or equivalent experience) in a quantitative field; advanced degree preferred
• Experience designing, executing, and analyzing experiments or structured analytical studies in business environments
• Familiarity with causal inference concepts, including quasi-experimental approaches, or demonstrated ability to develop these skills
• Strong understanding of experimental design, statistical inference, and measurement frameworks
• Proficiency in Python, R, or similar tools for data analysis
• Ability to interpret analytical outputs and translate them into actionable business insights
• Strong communication and stakeholder management skills, with the ability to influence decision-making
• Comfort working in ambiguous, real-world environments where trade-offs between rigor and practicality must be managed

Responsibilities

• Design and execute experiments to evaluate the impact of business and operational decisions
• Apply structured analytical approaches, including quasi-experimental methods where appropriate, to generate evidence in real-world settings
• Partner with stakeholders to identify high-impact opportunities for testing and learning, prioritizing where evidence will reduce decision uncertainty
• Input assumptions, parameters, and experimental findings into the decision product to inform model outputs
• Interpret decision outputs generated by the analytical engine and translate them into clear, actionable guidance for business users
• Communicate results, including implications, trade-offs, and uncertainty, in a way that builds trust and supports decision-making
• Partner with Data Scientists to ensure experimental insights and learnings are incorporated into the evolution of the analytical engine
• Ensure decision outputs are aligned to real-world workflows and are usable within business planning and operational contexts
• Balance statistical rigor with operational feasibility when designing and executing experiments

What This Job Offers

• Job Type: Full-time
• Career Level: Senior