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SeniorFull-timePythonMachine LearningData ScienceGit
Salary Range
$127,000 - $148,000 /year
About the Role
We are looking for a Senior Data Developer to join Big Huge Games. This role involves developing data-driven insights, models, and analytical systems that inform game development, player experience, and marketing performance.
Key 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.
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.
- ✓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.
