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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: We believe in empowering people through data, and we’re looking for a Decision Scientist to help us uncover insights that drive better learning experiences and strategic outcomes. As an Associate Data Scientist at Instructure, you’ll work at the intersection of data, AI, and business decision-making. You’ll partner closely with senior Data Scientists, product managers, and cross-functional teams to support analyses that inform product, growth, and go-to-market decisions impacting millions of learners. This role is designed for early-career Data Scientists who have strong analytical foundations, hands-on project experience, and high learning velocity, and who are ready to grow into owning end-to-end work with mentorship and support.
Job Responsibility:
Support cross-functional projects by translating business questions into analytical work, including exploratory analysis, experimentation support, and modeling
Analyze product and user data to surface insights related to feature performance, engagement, and growth
Build and maintain dashboards, reports, and analyses that help teams understand key metrics
Contribute to experimentation efforts (A/B tests), including setup, analysis, and interpretation
Assist with forecasting and modeling used for planning and decision-making
Communicate findings through clear written summaries, visualizations, and presentations
Use AI tools (e.g., ChatGPT, Claude, Cursor) to accelerate analysis, coding, and learning
Learn and apply best practices around data quality, experimentation, and statistical rigor
Contribute to a culture of learning, documentation, and continuous improvement within the data team
Requirements:
0–2 years of experience in data science, analytics, or a related quantitative role (or strong recent graduates with meaningful applied experience)
Strong foundations in SQL and experience using Python or R for analysis
Coursework or hands-on experience with: Statistics and experimentation
Core machine learning techniques (e.g., regression, classification, clustering, time series)
Practical experience through internships, research, coursework projects, or side projects
Comfort working with messy, real-world data
Familiarity with BI and data visualization tools (e.g., Tableau, Looker, Power BI)
Experience using AI tools to accelerate analysis and problem solving
Clear communication skills and willingness to ask questions, learn, and iterate
Curiosity, adaptability, and strong learning velocity
Nice to have:
Experience in EdTech or working with education-related products
Familiarity with cloud-based data platforms (e.g., Snowflake, Redshift, BigQuery)
Experience with product analytics, experimentation, or lifecycle analysis
Prior experience working in cross-functional teams
What we offer:
Competitive compensation and participation in Instructure’s equity program
Flexible schedules and a remote-friendly culture, with hybrid or onsite work based on business needs
Annual “Dim the Lights” company-wide shutdown from December 26 to December 31
Comprehensive wellness programs and mental health support
Annual learning and development stipends to support your growth
We provide the technology and tools you need to do your best work—typically a Mac, with PC options available in some locations
A culture rooted in inclusivity, support, and meaningful connection