Instructure
EdTech
DecisionScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Decision Scientist at Instructure. Skills: Data science, Analytics, Machine learning, Experimentation. Support business impact through data-driven insights. Conduct analyses to improve product adoption”
Industry & Context.
Analytical rigor
Background check, Identity verification
What You'll Do.
Support business impact through data-driven insights
Conduct analyses to improve product adoption
Conduct analyses to improve customer engagement
Conduct analyses to improve revenue growth
Support design of A/B tests
Support execution of A/B tests
Support design of causal inference studies
Support execution of causal inference studies
Evaluate impact of new product features
Evaluate impact of pricing strategies
Evaluate impact of go-to-market initiatives
Partner with product managers
Partner with engineers
Partner with marketing teams
Translate business questions into analytical frameworks
Own analytical project lifecycle
Scope analytical problems
Build analytical models
Present analytical insights
Track analytical outcomes
Leverage AI tooling to accelerate analysis
Improve analytical throughput
Elevate quality of deliverables
Translate analytical findings into recommendations
Communicate findings to technical stakeholders
Communicate findings to non-technical stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Engineers; Marketing teams
Communication Scope
Storytelling; Present complex analyses
Full Job Description
At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: The Decision Scientist at Instructure will contribute to how data informs strategic decisions across the organization. This is a foundational role within a growing decision science capability, offering the opportunity to apply analytical rigor to meaningful business problems in an EdTech environment. IMPACT OF THE ROLE As a Decision Scientist, you will support data-driven decision-making across Instructure by delivering high-quality analyses and partnering with cross-functional teams. In this role, you will: - Support business impact through data-driven insights. Conduct analyses that uncover opportunities to improve product adoption, customer engagement, and revenue growth using rigorous analytical methods. - Execute experimentation and causal analysis. Support the design and execution of A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. - Contribute to product and business strategy. Partner with product managers, engineers, and marketing teams to translate business questions into structured analytical frameworks and deliver clear, actionable findings. - Deliver analytical solutions end-to-end. Own the lifecycle of analytical projects — from scoping problems and building models to presenting insights and tracking outcomes. - Apply AI-first thinking. Leverage AI tooling (e.g., Claude, ChatGPT, Glean) to accelerate analysis, improve throughput, and elevate the quality of deliverables. - Communicate insights clearly. Translate analytical findings into recommenda
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