Senior Decision Scientist - Experimentation, Decision Enablement

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 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 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 #J-18808-Ljbffr Jobtailor