Amplify

Data Scientist

Remote - United States

Sponsorship not specified$100k-$132kDetected 56 days ago

PythonGitSQLDatabricksAWSDockerMachine LearningPyTorchscikit-learnData AnalysisData ScienceAgileForecastingSupply ChainLogisticsResearchCommunication

About the role

Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves.

2+ years of experience in a data science role working on Supply Chain forecasting or logistics optimization problems.
Proficiency with statistical methods and especially time series forecasting methodologies (eg.
Experience driving self-directed projects and working cross-functionally.

Experience working with Snowflake.
Experience with container technologies, e.g. Docker and Kubernetes.
Amplify is an Equal Opportunity Employer.
Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans.
If 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.
Amplify is an E-Verify participant.

A pioneer in K-12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment.
All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student.
Today, Amplify serves more than 15 million students in all 50 states.
For more information, visit amplify.com.
As such, they will be empowered to innovate and participate in important decisions across the entire data stack.

This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.
Give 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.
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.
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.

Equal Opportunity Employer.
If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.

This listing is sourced directly from Amplify's careers page and normalized into a canonical job model.