Senior Decision Scientist

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Instructure

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

📚 Education

☁️ SaaS

🤝 B2B

💰 Private Equity Round - Instructure on 2024-07

Education • SaaS • B2B

Instructure is an education-technology company that builds cloud-based learning and assessment platforms, best known for Canvas LMS. It provides an integrated ecosystem of SaaS products and services — including learning management, standards-aligned assessment (Mastery), credentialing and records (Parchment), analytics, and tools for K–12, higher education, and business/government training. Instructure focuses on student success, partner integrations, and scalable solutions for institutions and organizations to deliver, assess, and credential learning.

📋 Description

• 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 practices in methodology, communication, and stakeholder engagement. • Communicate insights clearly and effectively. Translate complex analytical findings into actionable recommendations for both technical and non-technical audiences, including executive leadership.

🎯 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 with a track record of delivering high-impact, cross-functional insights. • Expertise in statistical modeling, machine learning, causal inference, and experimental design (A/B testing). • Deep familiarity with AI tooling (Claude, ChatGPT, Glean) to improve throughput and analytical quality. • Strong proficiency in SQL for data extraction and manipulation. • Proficiency in Python or R for data analysis, modeling, and visualization. • Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran). • Strong communication and storytelling skills with the ability to translate complex analyses into clear, strategic narratives. • Demonstrated 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 while collaborating effectively in a fast-paced, cross-functional environment.

🏖️ Benefits

• Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. • Comprehensive wellness programs and mental health support • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth • The technology and tools you need to do your best work • Motivosity employee recognition program • A culture rooted in inclusivity, support, and meaningful connection