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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in experimental design and analysis, utilizing statistical inference and causal inference concepts to inform business decisions. Proficient in translating complex analytical outputs into actionable insights while effectively managing stakeholder communication.

Highest-signal resume keywords

Experimental DesignStatistical InferenceCausal InferencePythonR

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Experimental DesignStatistical InferenceCausal InferenceData AnalysisQuasi-Experimental Methods

Soft Skills

CommunicationStakeholder ManagementInfluencing Decision-Making

Tools & Technologies

PythonR

Industry Keywords

Business EnvironmentsAnalytical EngineDecision OutputsReal-World Workflows

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