For all of the latest PlayStation related news, career openings, and updates, please visit PlayStation on LinkedIn at https://www.linkedin.com/company/playstation-sony/ About Sony Interactive Entertainment Recognized as a global leader in interactive and digital entertainment, Sony Interactive Entertainment (SIE) is responsible for the PlayStation® brand and family of products and services$1. .$1
July 23
🏢 In-office - Bay Area
For all of the latest PlayStation related news, career openings, and updates, please visit PlayStation on LinkedIn at https://www.linkedin.com/company/playstation-sony/ About Sony Interactive Entertainment Recognized as a global leader in interactive and digital entertainment, Sony Interactive Entertainment (SIE) is responsible for the PlayStation® brand and family of products and services$1. .$1
• Using data to drive decision making and deliver impactful insights to stakeholders • Applying advanced analytical techniques, building predictive models, and using causal inference methods
• Minimum of 12 years of hands-on experience in data science or analytics roles, with a focus on marketing analytics • MS or PhD in mathematics, statistics, computer science, economics, operations research, or a related quantitative field, or equivalent experience • Proficiency in at least one statistical or programming language (e.g., R, Python) for data manipulation and analysis • Expertise in statistical modeling, experimental design, inferential statistics, and machine learning, particularly in marketing mix models, attribution models, and digital analytics • Familiarity with marketing modeling techniques, including ad stock and carryover effects • Proficient in using data visualization tools (such as Tableau, Shiny, Streamlit) • Strong communication skills and ability to explain complex analytical concepts to individuals without a technical background • Leadership experience, including the ability to lead and mentor a team of analysts • Familiarity with the gaming or entertainment industry is preferred • Proficiency in extracting large datasets from various relational databases using SQL • Experience in developing and deploying data pipelines and working with data ETL and RESTful APIs • Familiarity with e-commerce analytics topics
• Medical, dental, vision • Matching 401(k) • Paid time off • Wellness program • Employee discounts for Sony products • Possible bonus package
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