Offer summary

Qualifications:

5+ years of experience developing production-grade machine learning models, Proficiency in programming languages such as Python, Strong knowledge of probability and statistics, including experimental design and causal inference, Experience in technical mentorship of other applied scientists..

Key responsibilities:

Initiate and drive applied science initiatives focused on business impact

Architect and deploy machine learning systems to production

Design and execute experiments, collecting and analyzing data for product and marketing insights

Collaborate with cross-functional teams to apply sound statistical practices.

Job description

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

#LI-Remote

Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.

Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com.

If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/ .

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