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Senior Data Scientist, Commercial Strategy

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 3+ years

📍 Location: Canada, United States, Philippines

🔍 Industry: Home services

🏢 Company: Thumbtack👥 1001-5000💰 $275,000,000 Series G over 3 years ago🫂 Last layoff about 2 years agoHome ServicesLocalService IndustryProfessional Services

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonSQLData AnalysisTableauData visualizationA/B testing

Requirements:
  • BA/BS degree, preferably in Economics, Statistics, Math, or Computer Science.
  • 3+ years in analytics, data science, or economics.
  • Passion for using data to drive business impact in an operational environment, including running A/B experiments and applying causal analysis techniques.
  • Strong written and verbal communication skills: ability to explain results to various audiences.
  • Strong experience using SQL for querying datasets and proficiency with data visualization software like Tableau or Looker.
  • Familiarity with statistics/programming languages such as R or Python.
  • Ability to detect and debug data anomalies in operational processes.
  • Demonstrated ability to self-motivate and drive projects independently while collaborating with cross-functional teams.
Responsibilities:
  • Partner with leaders of Thumbtack’s Commercial Strategy team to conduct in-depth quantitative analyses that guide strategic decisions.
  • Design and implement A/B tests, Market Based tests, and other experiments to measure impact of projects and new features.
  • 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.
  • Maintain SQL queries and Looker/Tableau 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.
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