Data Scientist

As a Data Scientist at Miniclip, you will develop and refine pLTV models to optimize user acquisition strategies for profitable growth. You will use SQL, Python, and Pyspark within Databricks to analyze large datasets, providing actionable insights to the User Acquisition team. Collaboration with other data scientists and analytic engineers is key to enhancing data pipelines and reporting. You will also identify and resolve data discrepancies, communicate complex findings to stakeholders, and create dashboards in Looker to visualize KPIs.

Must Have

• Develop and refine pLTV models to optimize user acquisition strategies
• Utilize SQL, Python and Pyspark within Databricks to analyze large datasets
• Collaborate with other data scientists and Analytic Engineers to enhance data pipelines
• Proactively identify and resolve data discrepancies and model errors
• Communicate complex findings and model performance to stakeholders
• Create and maintain dashboards in Looker
• Proven experience as a Data Scientist, specifically working on predictive models
• Strong proficiency in Python for data analysis and model development
• Strong proficiency in SQL for data querying and manipulation
• Experience with cloud-based data platforms (e.g. AWS, Databricks)
• Experience with business intelligence tools such as Looker
• Solid grasp of statistical and machine learning concepts, with a focus on time-series analysis or predictive modeling

Good to Have

• Experience with performance marketing within mobile gaming or apps

What will you be doing at Miniclip?

• 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.

To date, Miniclip’s studios and companies have generated more than 10 billion downloads, including the following games: 8 Ball Pool™, Subway Surfers™, Golf Battle™, Football Strike™, Carrom Pool™, OSM - Online Soccer Manager™, Football Rivals ™, Pure Sniper ™, Puzzle Page™, Head Ball 2™, Motorsport Manager™, Darts of Fury™, Ultimate Golf™, Mini Football ™, Triple Match 3D ™, Agar.io™, and PowerWash Simulator ™.