Search the 6 jobs at Taskrabbit

Taskrabbit is seeking an SEO Manager to play a central role in delivering ambitious growth plans across acquisition, engagement, and retention. Responsibilities include developing SEO strategy, on-page optimization, performance analysis, and leading a team on search engine optimization. The role involves staying updated on SEO trends, collaborating with cross-functional teams, and driving growth initiatives through analysis and experimentation.

Seeking a skilled Data Scientist to provide data-driven insights and solutions for product enhancement and growth at Taskrabbit. Responsibilities include defining analytical problems, data exploration, collaboration with cross-functional teams, and fostering a data-driven culture. Requirements include a BS, MS, or Ph.D. in a quantitative field, 5+ years of analytics experience, A/B testing expertise, and proficiency in SQL and Python.

Senior Business Analyst role at Taskrabbit focusing on driving insights across the platform, analyzing business performance, and providing strategic recommendations based on data analysis. Remote-first company with plans for hybrid work model in the future.

As a Workforce Management Scheduling Specialist at Taskrabbit, you will optimize scheduling processes within workforce management and customer service, create efficient schedules, ensure operational workflows, and champion operational excellence. You will collaborate with stakeholders and drive processes focused on customer service excellence.

The Senior Analytics Engineer at Taskrabbit will be responsible for designing and developing data ontologies, transformation pipelines, and orchestrations to drive the marketplace team's objectives. This role will involve working with key stakeholders to ensure data definitions align with business needs and owning Dolly's enterprise data models and access layer.

Lead the development and deployment of advanced machine learning models to optimize job matching, price, pay, supply acquisition, and other critical business outcomes. Design and implement experiments to test hypotheses and measure the success of new features and initiatives.