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 wider team.

What are we looking for?

Proven experience as a Data Scientist, specifically working on predictive models.

Experience with performance marketing within mobile gaming or apps (not mandatory).

Strong proficiency in Python for data analysis and model development, and SQL for data querying and manipulation.

Experience with cloud-based data platforms (e.g. AWS, Databricks) and business intelligence tools such as Looker.

A solid grasp of statistical and machine learning concepts, with a focus on time-series analysis or predictive modeling.

About Miniclip

Operating in 12 countries, Miniclip develops and launches games in multiple categories across its 20 studios.

Founded in 2001 with an internationally recognised brand name, Miniclip has successfully grown a global audience across 195 countries and six continents. It has a unique understanding of the games space, developing and distributing a strong portfolio of over 60 high-quality mobile games globally.