Instructure

General & Administration

SeniorDecisionScientist

$911–1100k Mexico FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Decision Scientist at Instructure. Skills: Decision Science, Machine Learning, Causal Inference, Experimentation. Drive business impact. Identify high-value opportunities”

What You'll Achieve.

Improve product adoption; Improve customer engagement; Improve revenue growth

Industry & Context.

General & Administration
Problems you'll solve

Data-driven insights; Analytical frameworks; Analytical solutions

Eligibility Requirements

Background check, Identity verification

What They're Looking For.

Must Have

Master's degree or PhD, 5–7 years of experience, Expertise in statistical modeling, Expertise in machine learning, Expertise in causal inference, Expertise in experimental design, Proficiency in SQL, Proficiency in Python or R

Nice to Have

PhD preferred, Experience in SaaS, Experience in product analytics, Experience in EdTech environments

What You'll Do.

Drive business impact

Identify high-value opportunities

Improve product adoption

Improve customer engagement

Improve revenue growth

Design causal inference studies

Execute causal inference studies

Evaluate impact of new features

Evaluate impact of pricing strategies

Evaluate impact of go-to-market initiatives

Champion experimental rigor

Influence product strategy

Influence business strategy

Partner with product managers

Partner with engineers

Partner with marketing leaders

Partner with senior stakeholders

Translate business questions

Build analytical frameworks

Deliver strategic recommendations

Deliver end-to-end analytical solutions

Own analytical initiatives lifecycle

Design analysis approaches

Leverage modern analytical techniques

Contribute to best practices

Define standards for experimentation

Define standards for modeling

Define standards for insight delivery

Raise analytical quality bar

Mentor data scientists

Demonstrate best practices

Communicate insights clearly

Communicate insights effectively

Translate complex findings

Deliver actionable recommendations

How You'll Work.

Team & Collaboration

Cross-functional environment; Senior stakeholders; Product managers; Engineers; Marketing leaders

Communication Scope

Storytelling; Executive leadership; Technical audiences; Non-technical audiences

Process & Methodology

Lead initiatives

Full 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 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: As a Senior Decision Scientist, you will drive meaningful business outcomes by leading complex analytical initiatives and serving as a trusted partner to senior stakeholders. What you will do: - 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 pract

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