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Vanguard

Senior Decision Scientist – Experimentation, Decision Enablement

Vanguard

Senior Decision Scientist at Vanguard designing and executing business experiments to improve decision-making and operational efficiency. Collaborating with stakeholders to provide actionable insights and guidance.

Posted 7/1/2026full-timeMalvern • Arizona, North Carolina, Pennsylvania, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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
  • 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

Benefits

Comp & perks
  • Hybrid working model
  • Collaborative culture
  • Professional development opportunities
  • Long-term financial wellbeing for clients

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Experimental DesignStatistical InferenceCausal InferenceData AnalysisQuasi-Experimental Methods
Soft Skills
CommunicationStakeholder ManagementInfluencing Decision-Making