
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.
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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.
• Own sales forecasting and champion data-driven decision making across the sales organization • Analyze sales trends • Build models predicting sales across product lines and regions over different time horizons • Turn forecasts into recommendations for revenue and planning decisions • Develop statistical and machine learning models across business domains • Contribute to self-service analytics and data tools • Own the end-to-end machine learning lifecycle: scoping, feature engineering, model training and testing, deployment, monitoring, and explainability • Translate model outputs into actionable recommendations for business leaders • Identify which drivers move the sales forecast and by how much • Mentor junior data scientists • Lead technical design reviews and learning sessions • Help shape the team’s roadmap and standards • Report to the Data Science Manager • Work on a scrum team with Analytics Engineers and Data Analysts, shipping data products end-to-end • Participate in decisions across the data stack, including source-data modeling and solutions for the sales team
• 5+ years of experience in a data science role, with 3+ years focused on sales forecasting, demand forecasting, or revenue analytics; a graduate degree in a science or other quantitative field may count toward 2 of the 5 years • Expert user of Python or R for data analysis tasks • Expert knowledge of time series forecasting methods, including ARIMA, Prophet, and LSTM • Proficiency with SQL for data analysis • Proficiency training and evaluating machine learning models using PyTorch, scikit-learn, tidymodels, and XGBoost • Proven track record developing and implementing machine learning pipelines in production environments such as AWS SageMaker, Databricks, or Snowflake • Demonstrated application of software development methodology and protocols, including version control and testing • Excellent communication skills in writing and conversation, especially with non-technical partners • Experience driving self-directed projects and working cross-functionally • Experience mentoring other data scientists or leading technical discussions • Must be legally authorized to work in the United States • Background check required if selected for employment • Ability to travel to headquarters in New York for in-person onboarding or periodically during employment as required
• Bonus • 401(k) plan • Competitive health insurance • Mental health options • Basic life insurance • Paid time off • Parental leave • Access to best-in-class development programs • Remote work • In-person onboarding or periodic travel to headquarters in New York as required
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