Applied Scientist, Customer Growth at Thumbtack

About the Applied Science Team

We're looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistics. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well.  

At Thumbtack, the Applied Science team is responsible for a wide variety of problems spanning machine learning, statistics, and computer science:

• Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform.
• Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack’s product and marketing.
• Characterize marketplace dynamics. Thumbtack’s marketplaces consist of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets.
• Build a healthy marketplace. We evolve and manage the monetization mechanics of our marketplace, including defining the parameters that affect the prices we charge.
• Grow Thumbtack. We use various marketing and sales channels to drive traffic to Thumbtack. Leveraging causal inference and machine learning techniques, our team makes sure that we invest in sustainably growing Thumbtack.

Challenge 

Our team is at the forefront of a massive amount of user data. We need to think a lot about scaling as well as how to provide experiences for a wide set of users that we don’t necessarily know a ton about immediately. We are building experiences into our apps to onboard, engage, and re-engage our users and are constantly experimenting to produce delightful and consistent user experiences.

We are looking for someone with deep expertise in applying scientific techniques to marketplace growth and marketing problems. Our challenges include building systems to optimize our marketing spend to bring more customers to the marketplace, targeting our pro and customer acquisition efforts to ensure better outcomes for customers and pros and healthy marketplace growth, and building personalized experiences to engage and retain our customers and professionals.

Responsibilities

• Initiate and drive applied science initiatives to completion, with a focus on the business impact of those projects
• 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

What you’ll need

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

• Expert knowledge of machine learning techniques
• 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

Bonus points if you have

• Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
• Experience in applied science in growth or marketing at a Marketplace
• Experience with large-scale distributed systems
• Ph.D. in a relevant field

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines. Learn more about our virtual-first working model here. 

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 $169,600 - $219,500. 

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 $152,700 - $197,600. 

For candidates living in all other US locations, the expected salary range for this role is currently $144,200 - $186,600. 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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