[All remote jobs](https://jobicy.com/jobs.md)[![Thumbtack logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/05/Jobicy-210503180426-842530.jpg)](https://jobicy.com/company/thumbtack.md)[Thumbtack](https://jobicy.com/company/thumbtack.md) # Applied Scientist, Pro Growth Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/thumbtack.md)ShareRemote from[Canada](https://jobicy.com/job-region/canada.md)SalaryCAD 161,500–209k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished12 Oct 2026Apply before11 Nov 2026Listing views45Application actions5Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Thumbtack is seeking an Applied Scientist to strengthen professional acquisition, activation, retention, and supply health across its marketplace. The role owns end-to-end applied science work, including problem framing, causal experimentation, forecasting, production machine-learning deployment, and business-impact measurement. Core work includes lead scoring, supply forecasting, churn prediction, optimization, and LLM-powered or agentic onboarding workflows. The scientist will work closely with engineering, product, business development, and marketing in a high-ownership product pod. Candidates need strong ML, statistics, causal inference, Python, SQL, distributed-data, and cross-functional communication capabilities. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, end-to-end applied science role requiring production ML ownership alongside rigorous experimentation, causal inference, optimization, and modern LLM/agentic development. The scope spans technically complex marketplace problems and direct accountability for measurable growth outcomes. ## Salary analysis Estimated compensation compared with the broader CA market for similar roles. Estimated job medianMarket rateC$135,000CA market rangeC$125k–C$180k0C$198k AI insightThe posting explicitly discloses a CAD 161,500–209,000 annual salary range for candidates in Ontario and British Columbia, with a midpoint of CAD 185,250. The salary_job_median is shown as an approximate USD equivalent of that midpoint for the configured US-market analysis; the estimated US market range for a mid-level Applied Scientist with production ML and causal-inference experience is approximately USD 125,000–180,000 annually. ## Core skills Skills and capabilities most closely associated with this opportunity. [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Applied Science](https://jobicy.com/jobs?search_keywords=Applied%20Science.md)[Causal Inference](https://jobicy.com/jobs?search_keywords=Causal%20Inference.md)[Experiment Design](https://jobicy.com/jobs?search_keywords=Experiment%20Design.md)[Marketplace Analytics](https://jobicy.com/jobs?search_keywords=Marketplace%20Analytics.md)[Supply Forecasting](https://jobicy.com/jobs?search_keywords=Supply%20Forecasting.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Spark](https://jobicy.com/jobs?search_keywords=Spark.md)[LLM Agents](https://jobicy.com/jobs?search_keywords=LLM%20Agents.md) Sample interview questionsDescribe a production ML model you owned from problem definition through post-launch measurement.I would explain the business problem, define the target metric and guardrails, describe data and modeling choices, and outline the deployment and monitoring design. I would quantify the model's incremental impact using an experiment or a credible causal evaluation, then discuss iterations driven by observed performance and stakeholder feedback. How would you forecast professional supply needs across markets and service categories? I would create a hierarchical forecasting framework using historical demand, seasonality, market and trade attributes, professional capacity, acquisition funnels, and external supply signals. I would evaluate forecast accuracy by market segment, provide calibrated uncertainty intervals, and translate the results into actionable acquisition and activation targets. How would you measure whether an onboarding change actually improves professional activation? I would run a randomized controlled experiment with a clearly defined activation outcome, eligibility criteria, power calculation, and pre-specified guardrails such as retention and quality. I would analyze intent-to-treat effects, check experiment integrity and heterogeneous treatment effects, and follow longer-term cohorts to ensure the change improves durable value rather than a short-term proxy. What considerations would guide an LLM-powered onboarding agent for new professionals? I would begin with a focused user task and measurable success criteria, then design retrieval, tool use, structured outputs, and human escalation paths. I would build offline and online evaluation coverage for task completion, factuality, safety, latency, and business impact, while logging failures to improve prompts, tools, and policies. How do you balance scientific rigor with speed in a fast-moving growth environment? I prioritize decisions by expected impact, reversibility, and risk. For low-risk opportunities, I use fast prototypes and lightweight measurement; for high-stakes pricing, supply, or customer-experience decisions, I invest in stronger experimental design, validation, and monitoring before scaling. Opportunity details ## About this role. ### 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) Show more [Apply now >](https://jobicy.com/jobs/155122-applied-scientist-pro-growth.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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