Marketing Science Partner

Marketing Science Partner

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Responsibilities:

Lead the automation of business reports and data product development for strategic stakeholders, enhancing the visibility of the measurement adoption and performance metrics.

This involves building and maintaining data pipelines, developing research, managing and influencing stakeholders.

Spearhead the global expansion of the Marketing Science team's scope by designing and implementing programs, training initiatives, and internal data tools, while fostering strategic influence with global leadership.

Partner with advertisers across diverse industries to understand their business challenges and translate these insights into tailored measurement solutions.

Lead the adoption of experimental design techniques and open-source tools to enable data-driven decision-making.

Deliver training sessions to enhance data literacy and understanding of experimentation and ads performance optimization best practices.

Contribute to Meta's product roadmap to enhance usability and ensure solutions are adaptable globally.

Drive Go-To-Market strategies for key programs and initiatives.

Apply advanced analytical techniques to measure the impact of programs and initiatives, using insights to identify opportunities for growth and innovation.

Utilize SQL, Python, R, and other tools for data analysis, experimentation and build statistical models.

Employ design thinking methodologies to develop innovative solutions.

Leverage strategic thinking, problem-solving, and assertive communication to influence stakeholders.

Manage cross-functional projects effectively, showcasing expertise in analytics and strategic product outcomes.

Domestic and international travel requires 20%.

Minimum Qualifications:

Requires a Bachelor's degree (or foreign equivalent) in Social Science, or a related field, and 5 years of experience in the job offered or in a related occupation.

Requires 5 years of experience involving the following:

Business administration principles, data-driven research methods, and structured analytical frameworks for marketing and organizational data analysis.

Predictive modeling and causal inference techniques for media effectiveness, customer behavior analysis, and global performance measurement.

Python, R, and SQL for data product development, pipeline automation, dashboard creation, and scalable analytics tools.

Experimental design methods, including A/B testing, Conversion Lift, Brand Lift, and Marketing Mix Modeling (MMM) for first-party and third-party measurement solutions.

Analytical result reporting and documentation for senior technical and non-technical stakeholders.

AI agent training process design and methodology development for improving large language model (LLM) operations.

Auction system functionality and performance metric interpretation in digital advertising platforms.