Responsibilities

• Develop and analyze marketing experiments and causal inference studies, including geo-holdouts, A/B tests, and synthetic controls
• Research and apply statistical, machine learning, and experimental methods to business problems
• Build forecasting models and analytical solutions for new and existing products, campaigns, and initiatives
• Integrate data from internal systems, third-party vendors, APIs, and external data providers
• Partner with Data Engineering teams to improve data availability and define requirements for new analytical capabilities
• Communicate findings and recommendations through clear visualizations, presentations, and documentation
• Support the development of Hasbro’s marketing data science initiatives

Requirements

• Proficiency with Python (Pandas, NumPy, scikit-learn, visualization libraries), SQL, and git
• Statistical modeling and experimental design methods
• Experience working with large and complex datasets
• Proven ability to apply analytics, experimentation, and predictive modeling to solve business problems
• Experience crafting, analyzing, or interpreting experiments such as A/B tests, holdouts, geo-experiments, and other causal measurement frameworks
• Experience developing customer analytics such as segmentation, retention, acquisition, and lifetime value analyses
• Ability to work with marketing, customer, sales, and digital product data
• Strong communication skills to convey technical findings to non-technical audiences and business collaborators
• Familiarity with cloud-based analytics environments and modern data platforms
• Bachelor's degree in a quantitative field.

Preferred

• Experience measuring marketing efficiency across digital and traditional media channels
• Experience with web analytics platforms such as Google Analytics, Adobe Analytics, or similar tools
• Familiarity with major advertising and marketing ecosystems including Amazon and Google
• Experience forecasting demand, sales, customer behavior, or business performance
• Experience with Databricks, Azure, Snowflake, dbt, or related analytics technologies
• Experience collaborating with Data Engineers or ML Engineers to operationalize analytical solutions
• Master’s degree or equivalent experience in statistics, economics, mathematics, computer science, physics, or another quantitative field

Benefits

• Health & Wellness
• Time Off to Recharge
• Financial Well-being
• Life & Family Support
• Volunteer and Community Initiatives
• Learning & Development
• Exclusive Perks