Director, Decision Science

Instructure

. Build and lead the decision science team .

Posted 9/21/2026full-timeRemote • United StatesLead💰 $180,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and analytics, with a strong focus on team leadership, strategic decision-making, and the ability to communicate complex analyses effectively. Proficient in statistical modeling, machine learning, and modern data platforms to drive business results.

Highest-signal resume keywords

Data Science LeadershipStatistical ModelingMachine LearningSQL ProficiencyTeam Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceAnalyticsExperimental DesignCausal InferenceStatistical ModelingMachine LearningSQLPythonRPredictive Modeling

Soft Skills

CoachingCommunicationStrategic ThinkingProblem SolvingTeam Building

Tools & Technologies

SnowflakeDatabricksSparkData EngineeringDashboards

Certifications & Qualifications

Master's DegreePhD

Industry Keywords

Education TechnologyB2B SaaSSubscription MetricsProduct-Led Growth

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Build and lead the decision science team
Hire, onboard, coach, and develop scientists and analysts
Own team members’ career growth
Set the function’s strategy, roadmap, priorities, and success measures
Partner with product, engineering, marketing, finance, and executive leadership to define analytical problems
Direct predictive, prescriptive, and causal modeling for product decisions, customer retention, pricing, and operating efficiency
Improve delivery of insights through dashboards, metric definitions, written recommendations, and executive readouts
Present findings and recommendations to senior leaders
Grow data literacy across Instructure
Work with data engineering and platform teams on data, tooling, and infrastructure
Ensure ethical and privacy-conscious use of data, including student data
Follow applicable regulations and company standards

Requirements

What you’ll need

10 or more years of experience in data science, analytics, or decision science
At least three years managing and developing a team
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
Fluency in Python or R
Experience with modern data platforms and large-scale data tools such as Snowflake, Databricks, or Spark
Ability to explain complicated analysis to executives in plain language and defend methods to quantitative peers
Record of hiring, developing people, and building a strong team culture
Comfort setting priorities in a fast-moving environment with imperfect data
Master's or PhD in statistics, economics, computer science, operations research, applied mathematics, or a related quantitative field, or equivalent practical experience
Experience in education technology or B2B SaaS is nice to have
Familiarity with subscription and product-led growth metrics is nice to have
Experience building an analytics or decision science function from an early stage is nice to have
Must pass a background check
Candidates may be required to verify legal name, current physical location, valid contact number, and residential address

Benefits

Comp & perks

Competitive compensation
Ownership program for all full-time employees
Flexible work culture
Generous time off, including local holidays and annual “Dim the Lights” period
Comprehensive wellness programs and mental health support
Learning and development resources
Professional development tools and tuition reimbursement
Technology and tools needed to do your best work
Motivosity employee recognition program
Inclusive, supportive culture