Related skills
bigquery snowflake sql python dbtπ Description
- Contribute to design, build, and maintain data pipelines ingesting player, game, and marketing data.
- Develop, evaluate, and iterate ML models for LTV, churn, segmentation, and marketing.
- Build and optimize analytical datasets and feature pipelines for modeling and reporting.
- Partner with Product, Design, Marketing, and Analytics to frame questions and metrics.
- Ensure data quality, reliability, and reproducibility via testing, docs, and version control.
- Integrate model outputs into dashboards and downstream systems for decisions.
π― Requirements
- Bachelor's degree in data science, CS, statistics, math, or related field, or equivalent experience.
- 1β3 years of professional experience in data, analytics, or engineering.
- Proficiency in Python for data analysis and modeling, with RESTful API experience.
- Working knowledge of statistical methods and ML techniques applied to real-world data.
- Strong SQL skills; cloud data warehouses (Snowflake/BigQuery/Redshift) a plus.
- Exposure to data transformation or orchestration tools (dbt, Airflow) a plus.
π Benefits
- Exposure to deploying ML models to production.
- Familiarity with MLOps concepts like versioning, monitoring, or retraining.
- Background in digital marketing analytics or attribution.
- Experience with third-party analytics APIs (e.g., AppsFlyer).
- Games industry experience and passion for games.
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