Sr. Manager, Data Scientist, Marketing Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Manager, Data Scientist, Marketing Analytics based in the United States.

This senior leadership role will guide a team of data scientists in using advanced analytics to solve complex marketing and customer challenges.
You will translate business priorities into data-driven strategies that improve campaign performance, customer understanding, and return on investment.
The role combines people leadership with hands-on oversight of statistical modeling, machine learning, experimentation, and optimization.
You will partner with Marketing, Product, Sales, IT, and Data Engineering leaders to identify high-value opportunities and deliver measurable business impact.
You will also shape the roadmap for marketing analytics and oversee models from initial development through production deployment and monitoring.
The position offers substantial visibility with senior leadership and requires the ability to turn sophisticated analytical findings into clear business recommendations.
This is a strategic, collaborative opportunity for an experienced data science leader who can connect technical innovation with real-world marketing outcomes.

Accountabilities
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Lead, mentor, and develop a team of 2–3 data scientists, establishing clear objectives, providing feedback, conducting performance reviews, and supporting professional development.

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Foster a collaborative, high-performing environment while managing competing priorities across multiple data science initiatives.

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Oversee the full lifecycle of data science projects, from ideation and prototyping through deployment, production monitoring, and optimization.

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Review statistical and optimization models to ensure technical rigor, business relevance, data integrity, and adherence to appropriate ethical standards.

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Partner with Marketing leadership and business stakeholders to understand strategic objectives and identify opportunities where data science can create measurable value.

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Define and execute the marketing analytics roadmap in alignment with broader business priorities.

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Lead the development and implementation of advanced analytical models, including attribution, customer lifetime value, segmentation, propensity, personalization, and media mix modeling.

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Design and oversee A/B and multivariate testing frameworks to measure the impact of marketing initiatives.

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Apply statistical modeling, machine learning, optimization techniques, and experimental design to address complex marketing challenges.

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Ensure data collection, preparation, feature engineering, model development, validation, deployment, and monitoring are executed effectively.

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Collaborate with data engineering teams to develop scalable data pipelines and analytical infrastructure.

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Contribute hands-on expertise to deploying machine learning models within modern data science environments.

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Champion emerging data science methods and technologies that can improve marketing performance and customer insights.

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Translate complex analytical results into clear, actionable recommendations for marketing teams and senior executives.

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Serve as a subject matter expert in data science and marketing analytics across the organization.

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Collaborate with Marketing, Product, Sales, IT, and Data Engineering to drive cross-functional initiatives.

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Stay current with industry trends, emerging technologies, and evolving best practices in marketing analytics and data science.

Requirements

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Master’s or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related quantitative field.

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10+ years of progressive experience in data science, including at least 2–3 years leading or managing data science teams.

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Extensive experience with machine learning, predictive analytics, optimization algorithms, and large-scale dat