Define and own the company’s data science strategy, aligning AI and analytics with business priorities
Lead, mentor, and develop a team of data scientists and foster a culture of experimentation and excellence
Oversee design, validation, and deployment of advanced statistical, machine learning, and generative AI models for marketplace matching, recommendations, and predictive analytics
Build strong experimentation practices including A/B testing, causal inference, and statistical validation
Collaborate with engineering, product, and client-facing teams to integrate models into production and client solutions
Drive thought leadership via industry forums, academic collaborations, and strategic partnerships
Monitor emerging AI and marketplace trends and steer team toward high-value innovations
Ensure data science initiatives are delivered on time, on budget, and with measurable business impact
Requirements
Ph.D. or Master’s in a STEM discipline (Mathematics, Computer Science, Statistics, Physics, Engineering) (required)
Extensive experience leading data science teams in high-growth technology or AI-driven environments
Proven track record of delivering machine learning and generative AI solutions at scale, ideally in marketplace or recommendation system contexts
Strong expertise in statistical modeling, optimization algorithms, and applied machine learning
Executive-level communication skills, able to influence technical and non-technical stakeholders
Demonstrated ability to hire, grow, and retain top-tier data science talent
Leadership attributes: low ego/servant leader, one-team mentality, great listener, owner mentality, player-coach, business problem solver