Data Scientist

Work on product analytics and data science initiatives with a strong focus on experimentation, including A/B testing, causal inference, and synthetic control methods to drive data -informed product decisions.

Utilize advanced SQL and Python (must -have) to analyze large datasets, build analytical frameworks, and deliver actionable insights for product and business stakeholders.

Apply supervised and unsupervised learning techniques (e.g., linear/logistic regression, clustering) to solve complex product and growth problems.

Manage and mentor analytics/DS team members, collaborate effectively with cross -functional stakeholders, and demonstrate thought leadership in product analytics strategy.

Exhibit strong proactiveness, enthusiasm, and the ability to quickly learn and implement new methodologies in a fast -paced environment.