Instructure
General & Administration
SeniorDecisionScientist
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“Senior Decision Scientist at Instructure. Skills: Decision Science, Machine Learning, Causal Inference, Experimentation. Drive business impact. Identify high-value opportunities”
What You'll Achieve.
Improve product adoption; Improve customer engagement; Improve revenue growth
Industry & Context.
Data-driven insights; Analytical frameworks; Analytical solutions
Background check, Identity verification
What They're Looking For.
Must Have
Master's degree or PhD, 5–7 years of experience, Expertise in statistical modeling, Expertise in machine learning, Expertise in causal inference, Expertise in experimental design, Proficiency in SQL, Proficiency in Python or R
Nice to Have
PhD preferred, Experience in SaaS, Experience in product analytics, Experience in EdTech environments
What You'll Do.
Drive business impact
Identify high-value opportunities
Improve product adoption
Improve customer engagement
Improve revenue growth
Design causal inference studies
Execute causal inference studies
Evaluate impact of new features
Evaluate impact of pricing strategies
Evaluate impact of go-to-market initiatives
Champion experimental rigor
Influence product strategy
Influence business strategy
Partner with product managers
Partner with engineers
Partner with marketing leaders
Partner with senior stakeholders
Translate business questions
Build analytical frameworks
Deliver strategic recommendations
Deliver end-to-end analytical solutions
Own analytical initiatives lifecycle
Design analysis approaches
Leverage modern analytical techniques
Contribute to best practices
Define standards for experimentation
Define standards for modeling
Define standards for insight delivery
Raise analytical quality bar
Mentor data scientists
Demonstrate best practices
Communicate insights clearly
Communicate insights effectively
Translate complex findings
Deliver actionable recommendations
How You'll Work.
Team & Collaboration
Cross-functional environment; Senior stakeholders; Product managers; Engineers; Marketing leaders
Communication Scope
Storytelling; Executive leadership; Technical audiences; Non-technical audiences
Process & Methodology
Lead initiatives
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: As a Senior Decision Scientist, you will drive meaningful business outcomes by leading complex analytical initiatives and serving as a trusted partner to senior stakeholders. What you will do: - Drive business impact through data-driven insights. Identify and pursue high-value opportunities to improve product adoption, customer engagement, and revenue growth using advanced analytical and statistical methods. - Lead experimentation and causal analysis. Design and execute rigorous A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. Champion experimental rigor across teams. - Influence product and business strategy. Partner with product managers, engineers, marketing leaders, and senior stakeholders to translate complex business questions into structured analytical frameworks and deliver strategic recommendations. - Deliver end-to-end analytical solutions. Own the full lifecycle of analytical initiatives — from identifying opportunities and building models to deploying solutions and measuring impact. - Default to AI-first thinking. Design analysis approaches, recommend solutions, and elevate standards and throughput across the team by leveraging AI tooling and modern analytical techniques. - Contribute to decision science best practices. Help define standards for experimentation, modeling, and insight delivery that raise the bar for analytical quality across the organization. - Mentor and elevate peers. Guide data scientists and analysts by demonstrating best pract
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