Senior Data Scientist, Growth

About Taskrabbit:

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.

At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love.

Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.

• Taskrabbit is a remote-first company with employees distributed across the US and EU
• 5-time Best Places to Work in 2022 by BuiltIn. Including Best Companies in SF, Best Mid-Sized Companies, and Best Benefits
• DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
• DataBird journal’s “Best Places” Best Companies for Women, #4 2019 and #1 2020

This role will be fully remote through August 2025 with the expectation that employees will begin working 2 days per week in our dedicated office space starting September 2025. 

About the Role

Data Science and Analytics are the lifeblood of TaskRabbit, and we are scaling up the Data Science and Analytics team to provide key insights to drive our business forward. We are seeking a highly skilled and motivated Data Scientist to join us, working closely with cross-functional teams from product, engineering, marketing and business to provide data-driven insights and solutions that enhance our products and accelerate growth. 

What you will work on

• Be a strategic thought partner with stakeholders from product, business and marketing to define high-impact analytical problems, and solve them using different analytical and statistical approaches with data.
• Proactively perform data exploration and analytical deep dives to identify growth opportunities in user acquisition, retention and conversion.
• Collaborate with stakeholders to define and measure success metrics for new features and products, conduct hypothesis testing (A/B testing, multivariate experiments, quasi-experimental design and causal inference) to optimize product features and user experiences, and provide data-driven recommendations for product improvements and innovations.
• Work closely with cross-functional teams to understand their data needs, and present findings and actionable insights in a clear and compelling manner.
• Foster a …