Applied Scientist, Customer Growth

Thumbtack helps millions of people confidently care for their homes.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together.

About the Applied Science Team

The Customer Growth Applied Science team is responsible for delivering profitable growth to Thumbtack by developing and deploying state of the art AI/ML models in growth marketing and demand partnerships.

The Challenge

At the core of our work lies vast amounts of user data. We focus on delivering scalable experiences for a diverse, often unknown, user base by developing in-app features for onboarding, engagement, and reactivation, with constant experimentation.

Beyond traditional growth challenges like customer lifetime value, media strategy, and personalized user experiences, we are pioneering the use of generative AI models and agentic tools to empower marketers..

What you'll do 

• Initiate and drive applied science initiatives to completion, with a focus on the business impact
• Architect and deploy machine learning systems to production
• Design and execute experiments, collect and analyze data to characterize our product and marketing
• Analyze a wide variety of data: structured and unstructured, observational and experimental
• Collaborate with engineering, marketing, and economists to use sound statistical practices
• Maintain the right balance between speed of execution and scientific rigor when designing solutions
• Technical mentorship of other applied scientists

In order to be successful, you must bring

• 5+ years of experience developing production grade machine learning models
• Ability to effectively read, write, and debug code in programming languages such as Python
• Good knowledge of probability and statistics, including experimental design, optimization, and causal inference
• Experience with technical mentorship of other applied scientists
• Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution
• Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects
• Ability to communicate clearly and effectively to cross functional partners of various technical levels

Expected salary ranges

• For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $200,900 - $259,900. 
• For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $180,800 - $234,000. 
• For candidates living in all other US locations, the expected salary range for this role is currently $170,800 - $221,000. 

Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

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