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 Data Science Team The Data Science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems -- everything from informing how we set prices across almost a thousand local services categories, to evaluating the impact of a new business model on company performance, to identifying early predictors of high-quality customers. We are a tight-knit, intellectually curious team that is committed to improving Thumbtack and improving each other. About the Role At Thumbtack, Data Scientists are trusted to combine rigorous thinking, technical expertise, and business context to accelerate smarter decisions and better products. Our Marketing Data Science team powers a data-driven growth engine—blending advanced analytics, innovative technology, and creative problem-solving to bring users to Thumbtack and keep them engaged. As a Senior Paid Marketing Data Scientist, you will set the bar for technical innovation and strategic impact. Your mission will be to advance our channel measurement capabilities and to design scalable methodologies, frameworks, and tools that empower the Marketing and Data Science teams to operate with speed, rigor, and confidence. What you'll do - Lead the development and advancement of measurement methodologies that push the boundaries of what’s possible in evaluating marketing effectiveness - Explore innovative approaches grounded in data science and modern analytical methods - Drive the creation of frameworks, tools, and processes, and adoption of new methodologies that make measurement more systematic and scalable across a variety of channels. - Strengthen and evolve modeling approaches to deliver insights that are both robust and actionable. - Iterate on measurement approaches to marketing problems like channel incrementality, bolstering a robust approach to maximizing return on ad spend - Collaborate with cross-functional partners to connect measurement learnings with business strategy and growth. - Serve as a technical leader—mentoring others, elevating analytical standards, and shaping the long-term direction of measurement at Thumbtack. - Identify and pursue new opportunities where advanced analytics or fresh methodologies can unlock impact. In order to be successful, you must bring - 4+ years of experience in data science, analytics, or economics - Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Economics, Math, Computer Science, Engineering, advanced degree preferred - Proficient in causal inference methods, and familiar with statistical and machine learning concepts - Proficient in Python and SQL - Fluency in marketing and marketing measurement, experience with media mixed modeling preferred - Quantitative and structured problem solving - Ability to work in a fast moving business environment - Strong communication skills and ability to build strong relationships cross-functionally and with leadership and get buy-in on a data-driven perspective Expected salary ranges - For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $193,800 - $250,800. 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. #LI-Remote 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. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. 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.

About the company First Line Software works with some of the worlds top businesses and organisations in industries like healthcare, real estate, data engineering, warehouse automation, retail digitalisation, mobile app development, and e-commerce. Our projects are as varied as our people, and our people are as talented as they come. We prefer working as a transparent and supportive team, who shares our knowledge as well as our success. Lets see what we can create together! The project and your role We are looking for an ML/AI Engineer / Data Scientist to help us build and test new AI ideas. You will work on a variety of projects across different industries, creating smart solutions to solve real world problems. In this role, you will take AI concepts and turn them into working prototypes (Proof of Concepts). You will build data pipelines and use Generative AI (GenAI) to create modern applications. Key Responsibilities - Build and test Proof of Concepts (PoC) to explore new ideas in AI, Data Science, and Machine Learning. - Prepare data and perform feature engineering to create high quality Python code that is ready for production. - Design and implement machine learning pipelines and modern Generative AI solutions. - Work closely with internal teams and participate in workshops with clients to understand their needs. - Apply your AI and data knowledge to different industries and use cases. - Stay up to date with the latest trends in AI to ensure our solutions remain innovative. Your skills Essential Qualifications (Must-Haves): - Strong academic background in Mathematics, Computer Science, Data Science, Statistics, or a similar field. - Practical experience building machine learning pipelines using Python or R. - Hands-on experience with modern AI tools and libraries such as PyTorch, Transformers, CatBoost, and BERTopic. - Deep knowledge of data processing libraries like scikit-learn, pandas, and numpy (or tidyverse). - Solid understanding of statistics and the mathematical concepts behind machine learning. - Professional experience with Generative AI topics, including LLMs, RAG, LangChain, and LlamaIndex. Desired Skills & Knowledge (Nice-to-Haves): - Experience working with distributed systems and scalable software architectures. - Exposure to big data tools like Spark or advanced frameworks like TensorFlow. - Experience with API development and integrating AI systems into larger software platforms. What we can offer The FLS difference - Our modern stack projects are the right mix of exciting and challenging - Gain access to our diverse range of training programs, courses, and certifications; - Choose your work style - remote, on-site or hybrid in one of our stunning offices. We offer the freedom of flexible working hours. - Enhance your language skills with our corporate English classes - Work from anywhere and explore the world with our Workation program

• Lead system design and architecture reviews for scaled data warehouses and engineer and designing and deploying web scale applications • Deep experience in SRE and deploying application at scale to clouds. Strong foundation in SRE principles and practices • Create and maintain architectural documentation, including authoring and reviewing ADRs (Architecture Decision Records), to ensure alignment with overall software architecture • Data lakehouse design, data modeling, and integration patterns for deploy databases and data as a service, at scale • Provide technical direction for scaling complex features and initiatives involving data storage, processing and deployments • Familiarity with machine learning infrastructure and MLOps • Monitor and improve technical debt across all engineering teams, related to data storage, processing and site reliability • Partner with Engineering Managers to define key technical health metrics and streamline technical onboarding processes • Drive reliability, performance, and security best practices for data storage, processing and SRE • Break down complex technical tasks into clear, manageable deliverables for the team • Ensure sustainable engineering practices and code quality standards • Serve as a technical guide for team members, helping them understand data access and storage and deployment architecture, and development practices • Ensure teams are delivering solutions to satisfy requirements while aligning to current and future architectural designs • Coach and mentor engineers on data storage, warehouse, processing, and SRE systems architecture, and best practices • Lead by example through high-quality code contributions to critical or complex components • Share knowledge of hyperscale data warehouse/lakehouses, data models, and emerging technologies with the team • Assist SRE teams with improving stability, automation, and scalability • Conduct code reviews with focus on architectural alignment and quality • Support hiring processes and technical assessments for engineering candidates • Partner with Engineering Managers through regular 1:1s and team planning sessions • Collaborate with product management, UX, and other architects to design and deliver new software solutions • Work with other Technical Architects to identify and resolve cross-team dependencies and technical challenges • Ensure technical roadmap alignment with product and business priorities • Participate in and contribute to platform-wide architectural initiatives • Take ownership of the entire lifecycle and toolchain of all data components from design through deployment • Contribute to critical technical implementations, balancing hands-on coding with architectural responsibilities • Work collaboratively in a fast-paced environment touching a variety of projects and products • Build software that will meaningfully impact how people approach data privacy

• Define and maintain product success metrics and KPI frameworks for reputation and trust-related product areas. • Build and evolve measurement strategies that connect product changes to user behavior, engagement, and business outcomes. • Design, execute, and analyze experiments (A/B tests and quasi-experiments), applying causal inference methods where appropriate. • Develop and maintain dashboards and reporting to monitor product health, leading indicators, and strategic goals. • Partner with cross-functional teams to improve data instrumentation, ensuring high-quality and reliable datasets. • Conduct deep-dive analyses to uncover user behavior insights, friction points, and growth opportunities. • Translate complex analyses into clear, actionable recommendations and narratives for stakeholders. • Establish analytics best practices and operating rhythms, including reporting cadences and measurement plans. • Support survey data governance, including sampling strategies and interpretation of response trends.