Job Description:
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* Develop and execute a marketing mix modeling strategy to drive smarter media spend across digital, direct, and offline channels.
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About the Role:
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This high-impact role supports the development of data-driven models that improve return on investment (ROI).
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Responsibilities:
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* Lead the strategy and delivery for all marketing channels using data analysis and statistical modeling techniques.
* Build and deploy predictive models to optimize ROI, response, and causality.
* Integrate data from various sources, including media platforms, customer relationship management systems, and internal data.
* Communicate complex ideas effectively to senior business stakeholders and collaborate with cross-functional teams.
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Qualifications:
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* Master's or PhD in Statistics, Data Science, or related field.
* 5+ years of experience in statistical/machine learning modeling, preferably in financial services or a related regulated industry.
* Proficient in programming languages such as Python, R, and SQL, as well as modern data science libraries.
* Experience working with large datasets and cloud-based platforms.
* Strong communication skills and ability to influence decision-making.
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