Data Scientist (Gamedev)

TL;DR

Data Scientist (Gamedev): Developing and deploying predictive models to optimize user acquisition strategies with an accent on lifetime value (pLTV) prediction and performance marketing analytics. Focus on leveraging SQL, Python, and PySpark within Databricks to extract insights, maintain model integrity, and visualize key performance indicators for high-growth mobile gaming products.

Location: Must be based in London, UK

Company

hirify.global is a global leader in the development and publication of high-quality mobile games, reaching hundreds of millions of players worldwide.

What you will do

• Develop and refine pLTV models to ensure sustainable growth in user acquisition.
• Utilize Python, SQL, and PySpark on Databricks to transform and analyze large-scale datasets.
• Collaborate with data engineers to improve pipeline efficiency, model accuracy, and reporting.
• Proactively resolve data discrepancies and model errors to ensure prediction reliability.
• Communicate technical findings and model performance to key business stakeholders.
• Create and maintain dashboards in Looker to track and visualize performance metrics.

Requirements

• Location: Must be based in London, UK
• Proven experience as a Data Scientist with a focus on predictive modeling.
• Strong proficiency in Python for data analysis and SQL for complex querying.
• Experience with cloud-based data platforms like AWS or Databricks.
• Solid understanding of statistical concepts, time-series analysis, and machine learning.
• Ability to visualize data and communicate insights using tools like Looker.

Nice to have

• Prior experience with performance marketing in the mobile gaming or app industry.

Culture & Benefits

• Opportunity to work at a global scale on industry-leading mobile gaming titles.
• Collaborative, multi-disciplinary work environment.
• Access to sophisticated data infrastructure and modern analytics tooling.
• Focus on professional growth within a large, established gaming organization.