Machine Learning Engineer

March 1

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Logo of Civitas Learning

Civitas Learning

Civitas Learning is an education technology company specializing in student success software that provides real-time insights and workflow solutions. Their platform integrates academic, behavioral, engagement, and financial data to support student lifecycle management and achieve equitable student outcomes. Civitas Learning empowers educational institutions with predictive analytics to help create a data-activated student impact strategy, optimize strategic initiatives, and improve student retention and graduation rates.

Predictive Analytics β€’ Education Analytics β€’ Higher Education β€’ Academic Outcomes β€’ Big Data Analytics

πŸ“‹ Description

β€’ THIS IS A REMOTE ROLE BASED OUT OF LATAM. β€’ Civitas Learning is bringing together the best of technology, forward-thinking, and data science to meet our mission to help one million more higher education students graduate each year. β€’ We are looking for mission-driven, world-class engineers to join our team, leveraging technology to drive student success. β€’ We take our mission seriously but have fun doing it and appreciate the value of a healthy work-life balance. β€’ Build and maintain scalable and performant machine learning models from analysis to production pipeline. β€’ Ability to perform both new feature development and maintenance on all Civitas machine learning models and pipelines. β€’ Ability to validate new and existing machine learning models to ensure they are operating within acceptable thresholds. β€’ Ability to work across multiple products and engineering teams to resolve customer issues. β€’ Perform ad hoc statistical analysis and machine learning investigation. β€’ Lead other talented engineers in software engineering design and best practices with a focus on customer satisfaction.

🎯 Requirements

β€’ 7+ years of software engineering, data science, and/or statistical analysis β€’ Experience in designing, debugging, and building modern machine learning algorithms and pipelines

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