Blizzard's Marketing Analytics team within Global Insights is seeking a Data Scientist to build models and analytical frameworks that measure marketing effectiveness, customer lifetime value, and ROI across various channels to help marketing teams make smarter, data-driven decisions that maximize player engagement and business impact.
Requirements
- Hands-on experience with marketing mix modeling, attribution, or customer lifetime value modeling.
- Strong programming skills in Python (or R) and proficiency with SQL.
- Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and statistical modeling techniques.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Knowledge of cloud computing environments (AWS, GCP, or Azure).
- Familiarity with digital marketing platforms (Google Ads, Facebook Ads, programmatic buying) and analytics tools.
Responsibilities
- Develop and implement statistical and machine learning models to measure and optimize marketing performance, including:
-
- Marketing Mix Modeling (MMM) to evaluate channel effectiveness.
-
- Customer Lifetime Value (CLV) models to inform acquisition and retention strategies.
-
- ROI and attribution analysis across paid, owned, and earned media.
- Build and maintain data pipelines and dashboards to monitor marketing KPIs and model outputs.
- Collaborate with marketing, finance, and business teams to translate insights into actionable strategies.
- Present findings and recommendations to stakeholders in a clear and compelling way.
- Stay informed on emerging trends and best practices in marketing analytics and data science.
Other
- 5+ years of experience in data science, analytics, or related fields, with a focus on marketing analytics.
- Advanced degree (Master’s preferred) in Statistics, Applied Mathematics, Economics, Computer Science, or a related quantitative discipline.
- Ability to work independently on moderately complex problems and deliver actionable insights.
- Strong communication skills and ability to influence stakeholders.
- Experience in the gaming or entertainment industry.
