Data Scientist

Develop and refine pLTV (predicted Lifetime Value) models to optimize user acquisition strategies, ensuring profitable and sustainable growth.

Utilize SQL, Python and Pyspark within the Databricks environment to extract, transform, and analyze large datasets, providing actionable insights to the User Acquisition team.

Collaborate closely with other s and Analytic Engineers to enhance data pipelines, model accuracy, and reporting capabilities.

Proactively identify and resolve data discrepancies and model errors to maintain the integrity and reliability of our pLTV predictions.

Communicate complex findings and model performance to stakeholders, answering questions and building a strong understanding of how UA data drives business decisions.

Create and maintain dashboards in Looker to visualize key performance indicators and share insights with the wide...