Build machine learning algorithms and data pipelines, deploy models to production, and test models online and offline in A/B test environments. Conduct thorough testing of models in live environments using A/B testing methodologies to validate performance and iterate on improvements. Collaborate with data scientists, growth engineers, data engineering, product managers, and other teams to ensure algorithms can be launched successfully. Deploy machine learning models into production ensuring reliability, scalability, and maintainability. Create and utilize systems to monitor and analyze the performance of deployed models, identifying opportunities for optimization and enhancement. Drive new initiatives to help the growth marketing team use machine learning to optimize different applications including email campaigns, push notifications, user acquisition strategies, and personalized recommendations. Telecommuting permitted pursuant to company policy.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees