Job Description
Initiate and drive applied science initiatives to completion with a focus on improving the acquisition, retention, and expansion of large professionals on the Thumbtack platform. Develop, deploy, and optimize machine learning models and algorithms for various supply shaping problems, including targeted large pro acquisition and lead scoring, pro retention and churn prediction, and optimization of pro expansion. Design and execute marketplace experiments to evaluate the effectiveness of new models, features, and strategies on key supply and business metrics.
Analyze a wide variety of data to identify trends, opportunities, and risks related to supply health. Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of machine learning systems in production. Maintain the right balance between speed of execution and scientific rigor when designing solutions.
About Thumbtack
Thumbtack helps millions of people confidently care for their homes, offering an app to manage home care and improvement projects.