Top Data & Analytics Jobs
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Senior ML Engineer role at Grammarly's On-Device ML team responsible for proposing, designing, and implementing strategic new features using ML models to enhance writing assistance capabilities. Collaborate with core product teams, monitor deployment, and leverage academic research to advance technology.
The FinOps Analyst at Grammarly will work with major vendors, identify cost drivers, optimize costs, and analyze cloud spending to enable data-driven financial decisions. They will collaborate with various teams to manage cloud costs effectively and provide valuable insights for decision-making.
Join Grammarly as a Machine Learning Engineer specializing in NLP to build new products and capabilities for Enterprise customers. Collaborate with a high-performing team to leverage ML advances, linguistic expertise, and product design to improve communication in customer organizations.
Join Grammarly's Responsible AI team as a Machine Learning Engineer specializing in NLP. Develop and implement new ML solutions to enhance the safety and fairness of Grammarly products. Work in cross-functional teams to leverage ML advances and build scalable solutions.
The Analytics Engineer at Grammarly will be responsible for enabling data-driven decision-making by building analytical solutions for product, marketing, and business leaders. They will work on data delivery, defining business metrics, designing dimensional tables, and creating scalable analytical solutions.
Join Grammarly as an Applied Research Scientist in the Strategic Research team. Develop AI algorithms, collaborate with industry and academia, and influence Grammarly's product roadmap. Work with top-notch researchers and contribute to AI research breakthroughs.
As an Analyst, Customer Success Analytics at Grammarly, you will define key performance indicators, conduct root cause analysis, build predictive models, and collaborate with cross-functional teams to drive sustainable growth for the Customer Success business.
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