# Director, Decision Science

**Company**: Instructure
**Location**: US-REMOTE
**Work arrangement**: remote
**Experience**: executive
**Job type**: full-time
**Salary**: $180K - $200K
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/instructure/d46cb536-cc90-4062-b58f-8ec291bbfd98?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_98376af1-3d5

## Description

At Instructure, we believe in the power of people to grow and succeed throughout their lives.

We're hiring a Director of Decision Science to build and lead the team that turns Instructure's data into better decisions.

**The Role** You'll own the decision science function: the people, the roadmap, and the standards. Your team will run experiments, build causal and predictive models, and answer questions that shape our product, pricing, go-to-market, and operating plans. This is a people-leadership role. You'll hire, coach, and grow a team of decision scientists, and set the bar for analytical rigor across the company.

**Responsibilities**

- Build and lead the decision science team.

- Set the function's strategy and roadmap.

- Partner with product, engineering, marketing, finance, and executive leadership to turn fuzzy business questions into clear analytical problems.

- Direct the development of predictive, prescriptive, and causal models.

- Raise the bar on how insights reach decision-makers.

- Present findings and recommendations to senior leaders.

- Grow data literacy across Instructure.

- Work with data engineering and platform teams to ensure the team has the data, tooling, and infrastructure it needs.

- Hold the line on ethical, privacy-conscious data use.

**Requirements**

- 10+ years of experience in data science, analytics, or decision science, including at least three years managing and developing a team.

- A track record of analytical work that changed real decisions and produced measurable business results.

- Deep expertise in experimental design, causal inference, statistical modeling, and machine learning.

- Strong SQL skills, plus fluency in Python or R.

- Experience with modern data platforms and large-scale data tools.

- Ability to explain complex analyses to executives in plain language.

- Record of hiring well, developing people, and building a team culture.

**Nice to Have**

- Experience in education technology or another B2B SaaS business.

- Familiarity with subscription and product-led growth metrics.

- Experience building an analytics or decision science function from an early stage.

**Benefits**

- Competitive compensation, plus ownership program.

- Flexible work culture.

- Generous time off.

- Comprehensive wellness programs and mental health support.

- Learning and development resources.

- Technology and tools needed to do your best work.

- Motivosity employee recognition program.

- Culture rooted in inclusivity, support, and meaningful connection.

## Skills

### Required
- data science
- analytics
- decision science
- experimental design
- causal inference
- statistical modeling
- machine learning
- SQL
- Python
- R

### Nice to have
- education technology
- B2B SaaS business
- subscription and product-led growth metrics

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/instructure/d46cb536-cc90-4062-b58f-8ec291bbfd98?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)