Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or 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.
Strong SQL skills and experience with large, complex datasets in cloud data warehouses (Snowflake, BigQuery, Redshift), plus experience designing features, validating models, and evaluating performance.
Requirements:
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 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.
Job description
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.
