Instructure
1001 - 5000 employees
Founded 2016
📚 Education
☁️ SaaS
🤖 Artificial Intelligence
Education • SaaS • Artificial Intelligence
Instructure is an educational technology company that provides various digital tools and platforms to enhance and streamline teaching and learning experiences across different educational levels, from K-12 to professional education. Central to their offerings is the Canvas Learning Management System (LMS), which serves as a comprehensive hub for educators and students to connect and communicate effectively. Instructure also offers additional tools such as Canvas Studio and Canvas Catalog, as well as data-driven insights through Intelligent Insights that utilize AI to improve educational outcomes. The company's products are designed to support evidence-based decision-making, optimize technology usage, and foster impactful results in educational environments.
Senior Decision Scientist
🕒 June 24
Where this job comes from
Posted on Instructure's careers page, not through a job board
First seen by Remote Rocketship June 24
Still open on Instructure's site. Checked 8 hours ago.
Instructure
1001 - 5000 employees
Founded 2016
📚 Education
☁️ SaaS
🤖 Artificial Intelligence
Education • SaaS • Artificial Intelligence
Instructure is an educational technology company that provides various digital tools and platforms to enhance and streamline teaching and learning experiences across different educational levels, from K-12 to professional education. Central to their offerings is the Canvas Learning Management System (LMS), which serves as a comprehensive hub for educators and students to connect and communicate effectively. Instructure also offers additional tools such as Canvas Studio and Canvas Catalog, as well as data-driven insights through Intelligent Insights that utilize AI to improve educational outcomes. The company's products are designed to support evidence-based decision-making, optimize technology usage, and foster impactful results in educational environments.
📋 Description
• Identify and pursue high-value opportunities to improve product adoption, customer engagement, and revenue growth • Design and execute A/B tests and causal inference studies for product features, pricing strategies, and go-to-market initiatives • Champion experimental rigor across teams • Partner with product managers, engineers, marketing leaders, and senior stakeholders • Translate complex business questions into structured analytical frameworks and strategic recommendations • Own analytical initiatives from opportunity identification and model building through deployment and impact measurement • Leverage AI tooling and modern analytical techniques to improve analysis throughput and quality • Define standards for experimentation, modeling, and insight delivery • Mentor data scientists and analysts • Translate complex findings into actionable recommendations for technical, non-technical, and executive audiences
🎯 Requirements
• Master's degree or PhD in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field • 5–7 years of experience in data science, analytics, or a related discipline • Track record of delivering high-impact, cross-functional insights • Expertise in statistical modeling, machine learning, causal inference, and experimental design (A/B testing) • Familiarity with AI tooling, including Claude, ChatGPT, and Glean • Strong proficiency in SQL • Proficiency in Python or R for data analysis, modeling, and visualization • Experience with modern data platforms such as Snowflake, Databricks, and Fivetran • Strong communication and storytelling skills • Ability to lead end-to-end data science initiatives from problem definition through deployment and measurement • Experience in SaaS, product analytics, or EdTech environments is a plus • Ability to operate independently and collaborate effectively in a fast-paced, cross-functional environment • All employees must pass a background check • Candidates may need to verify their legal name, current physical location, contact number, and residential address
🏖️ Benefits
• Competitive compensation • Ownership program for all full-time employees • Flexible work culture • Generous time off, including local holidays and annual “Dim the Lights” period • Comprehensive wellness programs and mental health support • Learning and development resources • Professional development tools • Tuition reimbursement • Technology and tools needed to do your best work • Motivosity employee recognition program • Inclusive, supportive culture
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