Related skills
bigquery redshift snowflake sql python📋 Description
- Design, build, and maintain data pipelines ingesting player, game, and marketing data.
- Develop, evaluate, and deploy ML models for LTV, churn, segmentation, marketing.
- Build analytical datasets and feature pipelines for modeling and reporting.
- Partner with Product/Game Design/Marketing/Analytics to frame questions.
- Ensure data quality, reliability, and reproducibility via testing and version control.
- Integrate model outputs into dashboards and downstream systems.
🎯 Requirements
- Bachelor's degree in a quantitative field or equivalent experience.
- Experience with Airflow and dbt for data orchestration.
- Python for data analysis, modeling, and RESTful APIs.
- Strong statistical methods and ML techniques experience.
- Advanced SQL and cloud data warehouses: Snowflake, BigQuery, Redshift.
- Experience designing features, validating models, and evaluating performance.
- Ability to own analytical projects independently in ambiguous spaces.
- Strong communication to explain analyses to technical and non-technical audiences.
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