Applied Scientist – Pro Growth

Job not on LinkedIn

🕒 July 28

🇨🇦 Canada – Remote

💵 $161.5k - $209k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Thumbtack

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

👥 B2C

🏪 Marketplace

B2C • Marketplace • Home Services

Thumbtack is a platform that connects people with local professionals offering various services such as home improvement, repair, and cleaning. Users can search for specific services like house cleaning, handyman work, electrical and wiring repair, and more, getting access to trusted professionals with reviews and cost estimates. The platform is designed to make finding, hiring, and working with professionals simple and efficient, with the convenience of managing everything from one app. It serves millions of people across the U. S. , providing a wide range of services including landscaping, event planning, and more.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Professional development opportunities

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