{"schemaVersion":"jobsearcher.job.v1","id":"e06cc7adeae5c402d68dceb9","url":"https://jobsearcher.com/jobs/e06cc7adeae5c402d68dceb9","canonicalUrl":"https://jobsearcher.com/jobs/e06cc7adeae5c402d68dceb9","title":"Data Scientist","description":"About Amplify\nAmplify helps teachers bring delight and rigor to students every day. We have become a leader in K–12 literacy, biliteracy, math, and science by building inspiring teaching and learning experiences based on research. The Amplify Classroom platform combines curriculum, assessment, and supplemental learning into one coherent high-quality instructional system. A pioneer in education since 2000, Amplify has developed deep relationships in states and districts by partnering with educators to drive implementation quality and improved outcomes. Today, Amplify serves more than 18 million students and teachers across all 50 states and on six continents. For more information, visit Amplify.com.\nWe seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational product portfolio. This role will drive data science best practices and introduce advanced analytics capabilities to support strategic supply chain decisions affecting tens-of-thousands of ISBNs and hundreds of millions in revenue every year. To accomplish this, the Data Scientist will work with a cross functional scrum team of Analytics Engineers and Data Analysts to build state of the art data products.\n\nThis Data Science role will report to our Data Science manager who leads Data Science for Amplify’s Sales, Marketing and Finance departments. As such, they will be empowered to innovate and participate in important decisions across the entire data stack.\n\nEssential Responsibilities:\nTrain, test, and deploy Machine Learning models: Drive the development of new Machine Learning capabilities by contributing at every stage of the Machine Learning delivery pipeline including research, evaluation, deployment and monitoring.\nSeek the why behind every observation: Use advanced data analysis techniques to construct compelling narratives and recommend actions and strategies that our Supply Chain team can make to improve operations.\nWork cross functionally to deliver superior data products: Contribute to development efforts from data ingestion, to data transformation, through to data analysis and machine learning in order to deliver high quality, impactful data products.\nGive back to the broader Data Science team: Help our Data Science team continuously improve by leading team learning sessions and proposing novel tooling or architectures.\n\nRequired Qualifications:\n2+ years of experience in a data science role working on Supply Chain forecasting or logistics optimization problems.\nProficiency with statistical methods and especially time series forecasting methodologies (eg. SARIMA, prophet, xGBoost)\nExpert user of Python for data analysis tasks (data cleaning, manipulation, analysis).\nExpert user of SQL, especially its use in data analysis tasks.\nExperience training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost.\nExperience deploying machine learning models from research environments into production environments like AWS Sagemaker, Databricks or Snowpark ML.\nDemonstrated application of software development methodology and protocols, including using git for version control and testing.\nExcellent communication skills in writing and conversation, especially with non-technical partners.\nExperience driving self-directed projects and working cross-functionally.\n\nPreferred Qualifications:\nExperience working with Snowflake.\nExperience with container technologies, e.g. Docker and Kubernetes.\nBackground in education or in edtech.\n\nAmplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.\nAmplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.\nIf you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.\nAmplify is an E-Verify participant.\nCompensation Range: $100K - $132K","company":"Amplify","rawCompany":"amplify","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T13:17:11.443Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"611710","title":"Educational Support Services","slug":"educational-support-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"About Amplify\nAmplify helps teachers bring delight and rigor to students every day. We have become a leader in K–12 literacy, biliteracy, math, and science by building inspiring teaching and learning experiences based on research. The Amplify Classroom platform combines curriculum, assessment, and supplemental learning into one coherent high-quality instructional system. A pioneer in education since 2000, Amplify has developed deep relationships in states and districts by partnering with educators to drive implementation quality and improved outcomes. Today, Amplify serves more than 18 million students and teachers across all 50 states and on six continents. For more information, visit Amplify.com.\nWe seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational product portfolio. This role will drive data science best practices and introduce advanced analytics capabilities to support strategic supply chain decisions affecting tens-of-thousands of ISBNs and hundreds of millions in revenue every year. To accomplish this, the Data Scientist will work with a cross functional scrum team of Analytics Engineers and Data Analysts to build state of the art data products.\n\nThis Data Science role will report to our Data Science manager who leads Data Science for Amplify’s Sales, Marketing and Finance departments. As such, they will be empowered to innovate and participate in important decisions across the entire data stack.\n\nEssential Responsibilities:\nTrain, test, and deploy Machine Learning models: Drive the development of new Machine Learning capabilities by contributing at every stage of the Machine Learning delivery pipeline including research, evaluation, deployment and monitoring.\nSeek the why behind every observation: Use advanced data analysis techniques to construct compelling narratives and recommend actions and strategies that our Supply Chain team can make to improve operations.\nWork cross functionally to deliver superior data products: Contribute to development efforts from data ingestion, to data transformation, through to data analysis and machine learning in order to deliver high quality, impactful data products.\nGive back to the broader Data Science team: Help our Data Science team continuously improve by leading team learning sessions and proposing novel tooling or architectures.\n\nRequired Qualifications:\n2+ years of experience in a data science role working on Supply Chain forecasting or logistics optimization problems.\nProficiency with statistical methods and especially time series forecasting methodologies (eg. SARIMA, prophet, xGBoost)\nExpert user of Python for data analysis tasks (data cleaning, manipulation, analysis).\nExpert user of SQL, especially its use in data analysis tasks.\nExperience training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost.\nExperience deploying machine learning models from research environments into production environments like AWS Sagemaker, Databricks or Snowpark ML.\nDemonstrated application of software development methodology and protocols, including using git for version control and testing.\nExcellent communication skills in writing and conversation, especially with non-technical partners.\nExperience driving self-directed projects and working cross-functionally.\n\nPreferred Qualifications:\nExperience working with Snowflake.\nExperience with container technologies, e.g. Docker and Kubernetes.\nBackground in education or in edtech.\n\nAmplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.\nAmplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.\nIf you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.\nAmplify is an E-Verify participant.\nCompensation Range: $100K - $132K","datePosted":"2026-08-14T13:17:11.443Z","dateModified":"2026-08-14T13:17:11.443Z","hiringOrganization":{"@type":"Organization","name":"Amplify","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e06cc7adeae5c402d68dceb9"},"url":"https://jobsearcher.com/jobs/e06cc7adeae5c402d68dceb9"}}