Senior Decision Scientist (Experimentation & Decision Enablement)

Posted:
6/23/2026, 11:53:59 AM

Location(s):
North Carolina, United States ⋅ Malvern, Pennsylvania, United States ⋅ Charlotte, North Carolina, United States ⋅ Dallas, Texas, United States ⋅ Pennsylvania, United States ⋅ Arizona, United States ⋅ Texas, United States ⋅ Fort Worth, Texas, United States ⋅ Scottsdale, Arizona, United States

Experience Level(s):
Senior

Field(s):
Data & Analytics

Workplace Type:
Hybrid

Pay:
$156k/yr

Key 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

Qualifications

  • 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

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

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.

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.

Vanguard

Website: https://investor.vanguard.com/

Headquarter Location: Kelayres, Pennsylvania, United States

Employee Count: 10001+

Year Founded: 1975

IPO Status: Private

Industries: Finance ⋅ Financial Services

Visa Sponsorship: Sponsors work visas