Decision Scientist

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.

Get in on all the awesome at Instructure!

We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

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

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.