应用科学家，增长型
Applied Scientist, Pro Growth
### **Thumbtack 帮助数百万用户自信地照顾自己的家。**
Thumbtack 是您需要的唯一应用，用于维护和改善您的家——从个性化指导到 AI 工具以及一流的招聘体验。每天在美国每个县，人们都依靠 Thumbtack 完成紧急维修、季节性维护和更大的改进。我们帮助房主知道该做什么项目、何时做以及从我们不断增长的 30 万本地服务企业社区中聘请谁。如果创造影响激励你，加入我们。想象一下我们将一起打造什么。
### **关于应用科学团队**
我们正在寻找在机器学习、优化、构建数据产品和/或统计模型方面有深厚专业知识的应用科学家。作为一个小产品团队的一员，你将完全负责你的领域，因此你需要是一个有远大梦想并能有效执行的人。
在 Thumbtack，应用科学团队负责各种问题，涵盖 AI、机器学习、统计学和计算机科学：
- _提升客户和服务提供商的匹配度。_ 匹配和优化算法是 Thumbtack 产品的核心：我们每周处理数百万次匹配。在客户和服务提供商之间找到更好的匹配对我们在平台上的客户和专业人士的体验有巨大影响。
- _在许多混杂因素存在的情况下建模复杂关系。_ 预测建模问题无处不在我们的产品中。我们的团队致力于规划、设计和实现机器学习模型来支持 Thumbtack 的产品和营销。
- _分析市场动态。_ Thumbtack 的市场包括我们服务类别和美国城市中的数千个活跃市场。通过探索性数据分析和实验设计，我们的团队致力于了解这些市场中的趋势和行为。
- _构建 AI 功能。_ 使用最先进的方法，如大型语言模型（LLMs）、强化学习和代理工作流，以增强客户/专业人员的体验，提高获取率和市场效率，并自动化和提升内部流程。
- _构建健康的市场。_ 我们演进和管理市场的变现机制，包括定义影响我们收费价格的参数。
### **挑战**
Thumbtack 不断努力在数千个本地市场中平衡供需。
查看英文原文
### **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**
We’re looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. 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 AI, 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 AI features._ Use state-of-the-art approaches such as large language models (LLMs), reinforcement learning and agentic workflows to enhance customer / pro experience, increase acquisition and marketplace efficiency, and to automate and enhance internal processes.
- _Build a healthy marketplace._ We evolve and manage the monetization mechanics of our marketplace, including defining the parameters that affect the prices we charge.
### **The challenge**
Thumbtack constantly works to balance supply and demand across thousands of local markets and hundreds of service categories. The Pro Growth pod is responsible for the science behind acquiring and activating the right pros, at the right time, in the right markets, to keep the marketplace healthy and growing. As an Applied Scientist on Pro Growth, you’ll build models and experiments that shape who joins Thumbtack, how they get activated, how we forecast supply needs by market and trade, and how we accelerate time-to-value for new pros. We leverage machine learning, causal inference, and optimization to strategically grow and shape our pro supply base. Our work directly contributes to meeting demand projections, unlocking strategic partnerships, and ultimately enhancing customer experience and platform growth by ensuring a robust and high-quality supply of pros.
You’ll work shoulder-to-shoulder with engineers, product managers, and other applied scientists on a portfolio that ranges from incrementality and market forecasting to LLM-powered onboarding agents. You’ll own end-to-end: from problem framing, through experiment design, through deploying models to production, through measuring business impact.
### **What you’ll do**
- Initiate and drive applied science projects to completion, with a focus on the business impact of those projects on pro acquisition, activation, retention, and supply health.
- Develop, deploy, and optimize machine learning models for supply-side problems, including: lead scoring and pro acquisition targeting, market-level supply forecasting, pro onboarding and activation, retention and churn prediction, and agentic onboarding workflows.
- Design and execute well-powered marketplace experiments to measure model and product impact on supply and business metrics.
- Analyze structured and unstructured data such as marketplace interactions, pro profiles, external supply signals, to identify trends, opportunities, and risks related to supply health.
- Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of ML systems in production.
- Maintain the right balance between speed of execution and scientific rigor when designing solutions for a fast-paced marketplace environment.
- Contribute to evolving the team’s agentic-first ways of working, including LLM-powered tooling, eval coverage, and the use of AI agents in day-to-day applied science.
### **In order to be successful, you must bring**
- Master’s degree in a quantitative field (Computer Science, Machine Learning, Statistics, Operations Research, Economics, or related), or equivalent industry experience.
- 3+ years of industry experience as an applied scientist, data scientist, or ML engineer with ownership of production ML models.
- Experience in applied science within a marketplace, supply chain, or growth domain.
- Solid knowledge of machine learning techniques such as classification, regression, embedding-based approaches, and causal inference.
- Familiarity with modern LLMs (OpenAI, Anthropic Claude, Gemini, AWS Bedrock) and experience with agentic AI development practices and tools.
- Good knowledge of probability, statistics, and econometric methods, including experimental design, causal inference, and optimization.
- Experience with large-scale distributed systems (Spark, Databricks, or similar).
- Ability to effectively read, write, and debug code in programming languages such as Python and SQL.
- 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.
- Demonstrated ability to drive seamless execution end-to-end on at least one production ML project.
### **Expected salary ranges**
- For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $161,500 - $209,000
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.
Note: Thumbtack uses AI tools to support our resume screening process. However, our Recruiting team’s expertise and judgment guide hiring decisions.
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.
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](mailto:recruitingops@thumbtack.com).
For information about how Thumbtack collects, uses, and shares personal information about job applicants, please see our [Job Applicant Privacy Policy](https://www.thumbtack.com/job-applicant-privacy-policy).
We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. [Check out our blueprint on how to spot the fakes.](https://careers.thumbtack.com/recruiting-scams)