Senior Product Data Scientist

What You will do:

• Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience.

• Use your knowledge and experience to help scale the impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency.

• Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations.

• Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through POC to then drive to adoption. 

• Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product.

• Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions.

• Guide and mentor other product analysts in best practices for experimentation, modeling, and data-driven product development upskilling the team and defining the roadmap for Product Data Science. 

• Communicate complex data insights to both technical and non-technical stakeholders with clarity and influence.

What You’ll bring to the team:

Core Qualifications:

• Experience: Significant experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization.

• Technical & Modeling Expertise: Advanced proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering).

• Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch.

• Strategic Influence: A proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design teams).

• Scaling Impact: Experience scaling your impact through the creation of automated processes, self-service tools, or data products.

• Critical Thinking: Your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

You could be an especially great fit if you have:

• Advanced programming background with the ability to build simulations and prototype data products.

• Experience validating quantitative findings with qualitative methods (e.g., surveys, user research).

• Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics.

• Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling.

• Experience working within a two-sided marketplace, e-commerce, or the travel technology industry.