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.
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.
Qualifications
- 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 Have
- 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.
Location
- Our headquarters are in Timonium, MD. While MD-based candidates are preferred, remote work may be available for candidates in approved states.
- We would also be happy to hire outside the US for the right candidate.
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