Senior Data Developer

Xsolla

8d • $127,000 - $148,000 • Remote

About The Position

Big Huge Games is seeking a Senior Data Developer to develop data-driven insights, models, and analytical systems that inform game development, player experience, and marketing performance. In this role, you will work with large-scale player and marketing data, build and deploy machine learning models, and integrate data from internal and external APIs to support experimentation, prediction, and decision-making across the organization.
This position is suited for a senior individual contributor who is comfortable owning complex analytical problems end-to-end, collaborating with cross-functional partners, and translating data into actionable insights.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent professional experience.
• Experience with data orchestration and transformation tools (e.g., Airflow, dbt).
• Proficiency in Python for data analysis, modeling, and working with RESTful APIs (e.g., data ingestion, authentication, pagination).
• Strong experience applying statistical methods and machine learning techniques to real-world datasets.
• Advanced SQL skills and experience working with large, complex datasets in cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Experience designing features, validating models, and evaluating performance using appropriate metrics.
• Ability to independently own analytical projects and operate effectively in ambiguous problem spaces.
• Strong communication skills with the ability to explain complex analyses to technical and non-technical audiences.

Nice To Haves

• Experience deploying machine learning models into production or near-production environments.
• Familiarity with MLOps concepts such as model versioning, monitoring, and retraining workflows.
• Background in digital marketing analytics, attribution, or performance optimization.
• Experience working with third-party analytics or attribution APIs (e.g., AppsFlyer or similar).
• Games industry experience and a passion for games.

Responsibilities

• Design, build, and maintain robust data pipelines that ingest player, game, and marketing data from databases, event streams, and external APIs.
• Develop, evaluate, and deploy machine learning models for use cases such as LTV prediction, churn forecasting, player segmentation, and marketing optimization.
• Build and optimize analytical datasets and feature pipelines that support modeling, experimentation, and reporting.
• Partner with Product, Game Design, Marketing, and Analytics teams to frame business questions, define success metrics, and deliver actionable insights.
• Ensure data quality, reliability, and reproducibility through testing, monitoring, documentation, and version control.
• Integrate model outputs into dashboards, reporting tools, or downstream systems to support operational decision-making.
• Continuously improve analytical workflows, modeling approaches, and data tooling to increase accuracy, scalability, and efficiency.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees