Lead Data Scientist, Thumbtack

• BA/BS degree, preferably in Economics, Statistics, Math, or Computer Science
• Passion for using data to drive business impact in an operational environment, including running A/B experiments and applying causal analysis techniques to business process data
• Experience analyzing user experience data (both product and survey data), preferably in a technology or marketplace company
• Strong written and verbal communication skills: this role will require writing content and explaining results to internal and external audiences
• Strong experience using SQL to query large datasets, proficiency with data visualization software (e.g., Tableau, Looker), and familiarity with statistics/programming languages (e.g., R, Python)
• Ability to detect and debug data anomalies in complex operational processes and a track record of working with business leaders to drive improvements and efficiencies
• Demonstrated ability to self-motivate and drive projects independently as well as partner successfully with cross-functional teams

Desirable

• Thumbtack’s Ops Data Science team is a tight-knit group charged with providing actionable insights for Thumbtack’s Trust and Safety, Support Operations, Sales, Partnerships/Business Development, Business Operations and Product Operations teams
• We collaborate with various groups across the company on a wide variety of projects; everything from click-level data from our online HelpCenter, to call-level data from our outbound sales teams, to search- and conversation-level data between pros and customers from our product database
• The Ops Data Science team is part of a global team of more than 40 data scientists across the United States and Canada
• Be a proactive contributor driving impact to the measurement of sales led supply acquisition efforts, testing new sales strategies, and diving into how best to quantify the quality and lifetime value of acquired supply
• Be deeply involved in building our user feedback and sentiment data infrastructure and applying data science techniques to analyze these data and generate actionable insights, such as natural language processing, large language models, regression analysis, clustering algorithms, etc
• Be involved in scoping, prioritization and execution of tasks related to new company initiatives and programs while also gathering, organizing and presenting insights, trends and predictions to partners and stakeholders
• Partner with leaders of Thumbtack’s Sales Operations and Product Operations teams to conduct in-depth quantitative analyses that guide strategic decisions
• Make recommendations based on detailed analysis and a deep understanding of our business
• Build and maintain reports, models, metrics, and visualizations which provide insight into users’ experiences and business performance
• Work with Ops and Finance teams to measure impact of Sales and Product Operations initiatives
• Maintain SQL queries and dashboards that underpin analysis and reporting infrastructure
• Identify key drivers of core business outcomes through regression analyses and other statistical techniques
• Contribute to our team and company data culture through peer collaboration, training, coaching and more