Instructure

Instructure

Senior Decision Scientist

GB , EURemotePosted Today
Full TimeSeniorRemote

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Job Description

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 devel

Key Highlights

  • 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.

Qualifications

Required Qualifications

  • 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.

Skills & Technologies

GoMachine LearningSQLPython

About the Company

Instructure

Instructure

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

GB , EU

Work Mode

Remote

Posted

Today