Title: Decision Scientist

Location: Seattle, WA/Remote

Job Description Ensure Alignment to Selected Title

This Decision Scientist will partner with Digital Product Managers, Engineering, UX, and Operations to drive data-informed product decisions across Coffeehouse Ordering experiences. This role will leverage advanced analytics, experimentation, AI-enabled insights, and business performance analysis to help improve customer experience, operational efficiency, and product outcomes.
The ideal candidate combines strong analytical capabilities with business acumen and the ability to translate complex data into actionable recommendations for product and business leaders.
Core Responsibilities
Product Performance & Insights
- Analyze product, operational, and customer experience performance to identify trends, root causes, opportunities, and risks.
- Develop actionable recommendations that influence product prioritization, roadmap decisions, and feature optimization.
- Anticipate stakeholder questions and proactively provide insights that support effective decision-making.
- Monitor and communicate performance against key business, customer, and operational KPIs.
Strategic Analytics & Decision Support
- Build models, analyses, forecasts, and scenario planning tools that inform strategic prioritization and investment decisions.
- Partner with Product Managers to quantify business impact, define success metrics, and measure return on investment for product initiatives.
- Support roadmap planning by assessing tradeoffs, sizing opportunities, and evaluating expected outcomes.
Experimentation & Product Measurement
- Define measurement strategies for new products and capabilities.
- Design and evaluate A/B tests, pilots, and experiments to validate hypotheses and guide product decisions.
- Establish product health, adoption, engagement, and operational success metrics.
- Create standardized measurement frameworks that can be applied consistently across products and channels.
Data Products, Dashboards & AI Enablement
- Build scalable dashboards, AI-powered tools, and self-service analytics capabilities that enable Product Managers to independently assess product performance.
- Identify opportunities to automate recurring analyses and reporting.
- Partner with data engineering and analytics teams to improve data quality, accessibility, and reporting capabilities.
- Drive enhancements to existing dashboards and data products based on evolving business needs.
Business Problem Solving
- Lead cross-functional teams through complex and ambiguous business questions by:
- Defining key problems and opportunities
- Developing analytical hypotheses
- Designing research and measurement approaches
- Synthesizing results into actionable recommendations
- Conduct inquiry-driven analysis to uncover emerging customer, operational, and business insights.
Executive Communication & Storytelling
- Develop concise, executive-ready narratives that communicate business performance, product outcomes, risks, and recommendations.
- Present findings and strategic insights to product leadership and senior executives.
- Translate technical analyses into clear business implications and recommended actions.
Thought Leadership
- Act as a trusted analytics partner across Coffeehouse Ordering and broader Digital Product teams.
- Promote best practices in product measurement, experimentation, decision science, and AI-enabled analytics.
- Bring an outside-in perspective on emerging analytics techniques, product measurement frameworks, and decision-support capabilities.

Decision Scientist(only W2)

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