
1001 - 5000 employees
Founded 2000
📚 Education
☁️ SaaS
💰 Series C - Amplify Education on 2023-05
Education • SaaS
Amplify is a K–12 educational technology and curriculum company that builds next-generation, research-aligned curricula, assessments, and instructional tools for literacy, math, and science. Their offerings include core curricula (Amplify CKLA, Amplify ELA, Amplify Science), assessment and intervention products (mCLASS, Boost Reading, Boost Math), and digital/math resources (Amplify Desmos Math), plus tutoring and teacher professional learning resources. Amplify emphasizes the Science of Reading, provides an integrated digital platform for districts and teachers, and serves thousands of school districts and millions of students and teachers worldwide.
🔥 1 hour ago
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1001 - 5000 employees
Founded 2000
📚 Education
☁️ SaaS
💰 Series C - Amplify Education on 2023-05
Education • SaaS
Amplify is a K–12 educational technology and curriculum company that builds next-generation, research-aligned curricula, assessments, and instructional tools for literacy, math, and science. Their offerings include core curricula (Amplify CKLA, Amplify ELA, Amplify Science), assessment and intervention products (mCLASS, Boost Reading, Boost Math), and digital/math resources (Amplify Desmos Math), plus tutoring and teacher professional learning resources. Amplify emphasizes the Science of Reading, provides an integrated digital platform for districts and teachers, and serves thousands of school districts and millions of students and teachers worldwide.
• Analyze large-scale educational data to derive actionable insights that drive product design and improve customer experience. • Collaborate with cross-functional teams to tackle complex questions, leveraging both traditional analytical methods and emerging AI-driven workflows. • Partner with product managers, researchers, engineers, and content developers to answer complex business and educational questions. • Develop, evaluate, and maintain statistical models and AI-enabled analytical solutions. • Communicate findings and recommendations to technical and non-technical stakeholders. • Leverage AI-powered tools to improve exploratory analysis, feature engineering, and model development while maintaining high standards for code quality and evaluation.
• Bachelor’s degree in a quantitative field (e.g., Data Science, AI Engineering, Computer Science, Economics, Math, Physics, Statistics) or equivalent experience. • Proficient in using Python for data analysis tasks (data cleaning, manipulation, analysis). • Experience in SQL for data analysis. • Experience applying foundational statistical methods, such as regression and hypothesis testing. • Experience applying AI solutions to a variety of problem domains. • Experience with software development methodology and protocols, including version control and testing. • Demonstrated ability to independently research, troubleshoot, and solve open-ended analytical problems. • Excellent communication skills in writing and conversation, especially with non-technical partners. • Comfortable working independently and collaboratively in a team environment.
• competitive health insurance and mental health options • 401(k) plan • paid time off • parental leave • access to best-in-class development programs
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