Decision Scientist

Instructure·MexicoRemotemid

In short

→Científico de decisiones que usa datos y análisis para mejorar productos y estrategias en EdTech.
→Dia a dia: diseño de pruebas A/B, modelado estadístico, trabajo con equipo multidisciplinario y uso de IA para acelerar análisis.
→Destacado: es un rol fundacional en una nueva capacidad de ciencia de decisiones, con enfoque en impacto real en productos educativos.

No se requiere inglés, pero se valora la capacidad para trabajar en entornos multicultural

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What they ask for

✓Maestría en Estadística, Ciencia de Datos, Economía, Matemáticas Aplicadas u otro campo cuantitativo.
✓2-4 años de experiencia en ciencia de datos o análisis con resultados concretos.
✓Conocimiento avanzado en modelado estadístico, aprendizaje automático y diseño de experimentos.
✓Habilidad para comunicar hallazgos complejos a audiencias no técnicas.
✓Experiencia con SQL, Python o R, y herramientas de BI como Tableau o Power BI.
✓Familiaridad con plataformas de datos modernas como Snowflake, Databricks o Fivetran.

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SQLPythonRTableauPowerBISnowflakeDatabricksFivetranClaudeChatGPT

Who should you write to at Instructure?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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: The Decision Scientist at Instructure will contribute to how data informs strategic decisions across the organization. This is a foundational role within a growing decision science capability, offering the opportunity to apply analytical rigor to meaningful business problems in an EdTech environment. Impact of the Role As a Decision Scientist, you will support data-driven decision-making across Instructure by delivering high-quality analyses and partnering with cross-functional teams. In this role, you will: Support business impact through data-driven insights. Conduct analyses that uncover opportunities to improve product adoption, customer engagement, and revenue growth using rigorous analytical methods. Execute experimentation and causal analysis. Support the design and execution of A/B tests and causal inference studies to evaluate the impact of new product features, pricing strategies, and go-to-market initiatives. Contribute to product and business strategy. Partner with product managers, engineers, and marketing teams to translate business questions into structured analytical frameworks and deliver clear, actionable findings. Deliver analytical solutions end-to-end. Own the lifecycle of analytical projects — from scoping problems and building models to presenting insights and tracking outcomes. Apply AI-first thinking. , Claude, ChatGPT, Glean) to accelerate analysis, improve throughput, and elevate the quality of deliverables. Communicate insights clearly. Translate analytical findings into recommendations that both technical and non-technical stakeholders can understand and act on. What You Will Need Master's degree in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field (PhD is a plus). 2–4 years of experience in data science, analytics, or a related discipline with demonstrated ability to deliver actionable insights. Strong understanding of statistical modeling, machine learning fundamentals, and experimental design (A/B testing). Familiarity with AI tooling (Claude, ChatGPT, Glean) to improve productivity. Strong proficiency in SQL for data extraction and manipulation. Proficiency in Python or R for data analysis, modeling, and visualization. Proficiency in a Business intelligence tool (Tableau, PowerBI... etc.) , Snowflake, Databricks, Fivetran). Strong communication and storytelling skills with the ability to present complex analyses clearly. Experience in SaaS, product analytics, or EdTech environments is a plus. Ability to work effectively in a fast-paced, cross-functional environment. 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.

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