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Senior Decision Scientist

🕒 Junho 24

🇲🇽 México – Remoto

💵 MX$911.000 - MX$1.100.000 / ano

⏰ Tempo Integral

🟠 Sênior

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Instructure

Instructure

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

📚 Educação

☁️ SaaS

🤝 B2B

💰 Private Equity Round - Instructure em 2024-07

Education • SaaS • B2B

Instructure é uma empresa de tecnologia educacional que desenvolve plataformas de aprendizado e avaliação baseadas na nuvem, mais conhecida pelo Canvas LMS. Oferece um ecossistema integrado de produtos e serviços SaaS — incluindo gerenciamento de aprendizado, avaliação alinhada a padrões (Mastery), credenciamento e registros (Parchment), análises e ferramentas para educação básica (K–12), ensino superior e treinamento corporativo/governamental. A Instructure foca no sucesso dos alunos, nas integrações com parceiros e em soluções escaláveis para instituições e organizações no intuito de oferecer, avaliar e credenciar o aprendizado.

Descrição

• Identify and pursue high-value opportunities to improve product adoption, customer engagement, and revenue growth • Design and execute A/B tests and causal inference studies for product features, pricing strategies, and go-to-market initiatives • Champion experimental rigor across teams • Partner with product managers, engineers, marketing leaders, and senior stakeholders • Translate complex business questions into structured analytical frameworks and strategic recommendations • Own analytical initiatives from opportunity identification and model building through deployment and impact measurement • Leverage AI tooling and modern analytical techniques to improve analysis throughput and quality • Define standards for experimentation, modeling, and insight delivery • Mentor data scientists and analysts • Translate complex findings into actionable recommendations for technical, non-technical, and executive audiences

🎯 Requisitos

• Master's degree or PhD in Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, or a related quantitative field • 5–7 years of experience in data science, analytics, or a related discipline • Track record of delivering high-impact, cross-functional insights • Expertise in statistical modeling, machine learning, causal inference, and experimental design (A/B testing) • Familiarity with AI tooling, including Claude, ChatGPT, and Glean • Strong proficiency in SQL • Proficiency in Python or R for data analysis, modeling, and visualization • Experience with modern data platforms such as Snowflake, Databricks, and Fivetran • Strong communication and storytelling skills • Ability to lead end-to-end data science initiatives from problem definition through deployment and measurement • Experience in SaaS, product analytics, or EdTech environments is a plus • Ability to operate independently and collaborate effectively in a fast-paced, cross-functional environment • All employees must pass a background check • Candidates may need to verify their legal name, current physical location, contact number, and residential address

🏖️ Benefícios

• 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 • Tuition reimbursement • Technology and tools needed to do your best work • Motivosity employee recognition program • Inclusive, supportive culture

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