Applied Scientist, Monetization
137k - 177k USD
Remote
Full Time
#Engineering
#Machine Learning
#Data Products
#Statistics
#Optimization
#Python
#Experimental Design
#Causal Inference
#Algorithms
#Data Analysis
Owning a home is often the most significant investment an individual makes, yet it frequently lacks a clear manual. At Thumbtack, we are changing that by building the essential app for homeowners to manage their properties with confidence. Our platform helps millions of people care for their homes while enabling professionals to earn billions of dollars. As a rapidly growing company in a massive industry, we are dedicated to supporting local economies and helping small businesses thrive. We are looking for a Senior Applied Scientist to join our Monetization team and help us shape the future of home care through data-driven innovation.
Key outcomes
- Lead and execute applied science projects that deliver measurable business impact.
- Architect, deploy, and maintain machine learning systems and algorithms within a production environment.
- Design and conduct rigorous experiments to analyze product performance and marketing effectiveness.
- Interpret complex data sets, including both structured and unstructured information, to derive actionable insights.
- Partner with engineers, economists, and data scientists to uphold high statistical standards.
- Balance the need for rapid execution with the necessity for scientific rigor in all technical solutions.
- Provide technical mentorship to fellow team members to foster professional growth.
Requirements
- Expertise in machine learning techniques and the ability to build algorithms for complex, dynamic human environments.
- Strong background in price theory and auctions.
- Proficiency in Python for coding, debugging, and data analysis.
- Solid understanding of statistics, experimental design, optimization, and causal inference.
- The ability to decompose intricate problems and navigate trade-offs to ensure successful project delivery.
- Excellent communication skills to effectively collaborate with cross-functional partners at various levels of technical expertise.
- Fluency in English.
Preferred qualifications
- Advanced knowledge of predictive modeling and causal inference.
- Experience working with large-scale distributed systems.
- A Ph.D. in a relevant scientific or technical field.
Compensation
The salary range for this position is $137,000 to $177,000. Actual compensation is determined based on individual qualifications, job level, and specific skills. In addition to salary, we offer a remote work environment and an employee assistance program to support your well-being.
How to apply
If you are passionate about making a tangible impact and want to help us build a better marketplace for homeowners and professionals, we encourage you to apply. We value diverse perspectives and welcome interest from all qualified candidates, even if you do not meet every single requirement listed above.
