Stride, Inc.
Data Scientist
Stride, Inc., Carson City, Nevada, us, 89702
Minimum Required Qualifications
Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field ANDSix (6) years' related experience; OREquivalent combination of education and experienceCertificates and Licenses: None requiredStrong understanding of analytical and problem-solving skillsExpert in Machine learning frameworksHands-on experience with large language models like GPT, LLAMA, BERTKnowledge of NLP techniques like tokenization, embeddingsExperience with deep learning frameworks such as TensorFlow or PyTorchExperience with large data setsResponsibilities
The Data Scientist will own responsibility for end to end modeling and data product creation based on machine learning over vast data sets.The Data Scientist will be responsible for model design, evaluation, and deployment using standardized Stride coding best practices.Data Scientist will provide technical guidance to other analysts on cross-functional projects and develop understanding of the Stride business and the use of this data to improve student retention and academic outcomes.He/she will drive the increased production of data products directly linked to actionable business decisions.ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products.Provide strategic influence with Product and Engineering teams to solve problems and identify trends and opportunities.Interface with IT managers, data stewards and data engineers to ensure that their work is efficiently provisioned and informed.Inform, influence, and support product decisions.Ensure that data science output is measured, documented, reproducible, and monitored for performance drift.Mine massive amounts of data and extract useful product insights.Manage development of data resources, gather requirements, organize sources, and support product launches.Hold key thought leadership role on team responsible for defining and evaluating strategies to improve academic outcomes.Align Stride's data capabilities with the needs of our schools & school services teams that will drive the adoption and use of actionable data to deliver improved outcomes.Identify and define strategic opportunities for leveraging data science across other businesses and functions in support of Stride's mission, vision and long-term strategy.
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Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field ANDSix (6) years' related experience; OREquivalent combination of education and experienceCertificates and Licenses: None requiredStrong understanding of analytical and problem-solving skillsExpert in Machine learning frameworksHands-on experience with large language models like GPT, LLAMA, BERTKnowledge of NLP techniques like tokenization, embeddingsExperience with deep learning frameworks such as TensorFlow or PyTorchExperience with large data setsResponsibilities
The Data Scientist will own responsibility for end to end modeling and data product creation based on machine learning over vast data sets.The Data Scientist will be responsible for model design, evaluation, and deployment using standardized Stride coding best practices.Data Scientist will provide technical guidance to other analysts on cross-functional projects and develop understanding of the Stride business and the use of this data to improve student retention and academic outcomes.He/she will drive the increased production of data products directly linked to actionable business decisions.ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products.Provide strategic influence with Product and Engineering teams to solve problems and identify trends and opportunities.Interface with IT managers, data stewards and data engineers to ensure that their work is efficiently provisioned and informed.Inform, influence, and support product decisions.Ensure that data science output is measured, documented, reproducible, and monitored for performance drift.Mine massive amounts of data and extract useful product insights.Manage development of data resources, gather requirements, organize sources, and support product launches.Hold key thought leadership role on team responsible for defining and evaluating strategies to improve academic outcomes.Align Stride's data capabilities with the needs of our schools & school services teams that will drive the adoption and use of actionable data to deliver improved outcomes.Identify and define strategic opportunities for leveraging data science across other businesses and functions in support of Stride's mission, vision and long-term strategy.
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