Senior Decision Scientist (Experimentation & Decision Enablement)

Vanguard Group, Inc.

$100K — $130K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Undergraduate degree in a quantitative field; advanced degree preferred
  • Experience in designing and analyzing experiments in business settings
  • Familiarity with causal inference and quasi-experimental approaches
  • Strong grasp of experimental design and statistical inference
  • Proficiency in Python, R, or similar data analysis tools
  • Ability to communicate analytical outputs as actionable business insights
  • Strong stakeholder management skills with influencing capability

Responsibilities

  • Design and execute experiments to assess business decision impacts
  • Apply structured analytical methods to generate evidence
  • Collaborate with stakeholders to identify testing opportunities
  • Input experimental findings into decision product models
  • Interpret and communicate decision outputs to business users
  • Convey results and implications in a trust-building manner
  • Partner with Data Scientists to integrate insights into analytical evolution
  • Align decision outputs with real-world workflows

Benefits

  • Collaborative work environment with cross-functional interactions
  • Opportunities for professional development and skill enhancement
  • Involvement in impactful projects that directly influence business strategy
  • Access to advanced analytical tools and resources
  • Dynamic workplace that values both rigor and practicality in decision-making
Full Job Description

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.

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