Instructure
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.
Decision Scientist
🔥 12 hours ago
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Instructure
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
• 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 recommendations that both technical and non-technical stakeholders can understand and act on.
🎯 Requirements
• Master's degree in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field (PhD is a plus). • 2–4 years of experience in data science, analytics, or a related discipline with demonstrated ability to deliver actionable insights. • Strong understanding of statistical modeling, machine learning fundamentals, and experimental design (A/B testing). • Familiarity with AI tooling (Claude, ChatGPT, Glean) to improve productivity. • Strong proficiency in SQL for data extraction and manipulation. • Proficiency in Python or R for data analysis, modeling, and visualization. • Proficiency in a Business intelligence tool (Tableau, PowerBI... etc.) • Experience working with modern data platforms (e.g., Snowflake, Databricks, Fivetran). • Strong communication and storytelling skills with the ability to present complex analyses clearly. • Experience in SaaS, product analytics, or EdTech environments is a plus. • Ability to work 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
Apply Now
