Director of Applied Science, Growth Initiatives

4 weeks ago

Toronto, Ontario, Canada Thumbtack Full time
About the Role

Thumbtack is a leading home services platform that connects customers with qualified professionals. We're seeking a visionary Director of Applied Science to lead our efforts in leveraging machine learning and AI to drive growth initiatives and innovation.

Key Responsibilities
  • Lead and mentor a team of Applied Scientists, fostering a culture of innovation and continuous learning.
  • Develop and implement advanced machine learning models and AI algorithms to optimize user acquisition, engagement, and retention strategies for both professionals and customers.
  • Collaborate with product, marketing, and operations teams to identify high-impact growth opportunities.
  • Design and oversee AI-driven experiments to measure the impact of growth initiatives and drive informed decision-making.
  • Lead the development of predictive models for user behavior, market trends, and business outcomes.
  • Drive innovation in areas such as personalized recommendations, matching algorithms, and automated interactions to enhance Thumbtack's service for professionals and customers alike.
  • Explore and implement generative AI solutions to create new growth avenues and enhance user experiences.
  • Establish best practices for AI and ensure responsible development across growth initiatives.
  • Stay current with advancements in applied science and AI relevant to marketplace dynamics and user behavior prediction.
  • Present insights and recommendations to executive leadership to inform strategic decisions.
Requirements
  • Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
  • 8+ years of experience in applied science roles, with at least 3 years in a leadership position.
  • Strong background in machine learning, AI, and causal inference in marketing and growth.
  • Proven track record of applying AI to drive business growth in a tech company.
  • Proficiency in programming languages such as Python, R, or Scala.
  • Knowledge of generative AI applications and their potential in driving growth.
  • Excellent communication skills with the ability to translate complex AI concepts to non-technical audiences.

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