Instructure, Inc. - Director, Decision Science
Requirements
• 10 or more 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, and the judgment to know which one a problem calls for. • Strong SQL skills, plus fluency in Python or R. • Experience with modern data platforms and large-scale data tools, such as Snowflake, Databricks, or Spark. • The ability to explain a complicated analysis to an executive in plain language, and to defend the method to a peer who knows the math. • A record of hiring well, developing people, and building a team culture others want to join. • Comfort setting priorities in a fast-moving environment where the questions change and the data is imperfect. • A 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 another B2B SaaS business. • Familiarity with subscription and product-led growth metrics, such as retention, expansion, and adoption. • Experience building an analytics or decision science function from an early stage. • 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.
Responsibilities
• Build and lead the decision science team. Hire, onboard, coach, and develop a group of scientists and analysts, and own their career growth. • Set the function's strategy and roadmap. Decide which problems the team takes on, which it declines, and how success gets measured. • Partner with product, engineering, marketing, finance, and executive leadership to turn fuzzy business questions into clear analytical problems, then deliver answers people can act on. • Direct the development of predictive, prescriptive, and causal models that inform product decisions, customer retention, pricing, and operating efficiency. • Raise the bar on how insights reach decision-makers, from dashboards and metric definitions to written recommendations and executive readouts. • Present findings and recommendations to senior leaders. Say clearly what we know, what we don't, and what you'd do about it. • Grow data literacy across Instructure so teams ask sharper questions and read results correctly on their own. • Work with data engineering and platform teams to make sure the team has the data, tooling, and infrastructure it needs. • Hold the line on ethical, privacy-conscious data use, including student data. Follow applicable regulations and our own standards, and make sure your team does too.
Benefits
• Estimated base salary $180K – $200K • Offers Bonus • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Please include your international country code starting with '+' (e.g., +1 555-123-4567 or +44 20 7946 0912). • or drag and drop here • Permanent resident / indefinite right to work • Temporary visa with employer-specific authorization • Temporary visa with open / transferable work authorization • I am not currently authorized to work in this country • No, but I plan to relocate at my own expense • No, and I would require employer support to relocate • Recruiting Privacy Policy • Instructure, Inc. may use Artificial Intelligence with this application. Learn more.
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