Marketing Science & Engineering Manager

This role will oversee the client data pipeline to ensure accurate and automated media and business datasets. The Marketing Science & Engineering Manager will work on delivering adhoc and scheduled data science applications and insights, such as Media Mix Models, impact analysis, etc. They will work cross-departmentally with Media Analytics and Marketing to enhance deliverables, create new and innovative solutions, and uplevel technology and analytics products.

What You Will Do

The Marketing Science & Engineering Manager will oversee Advanced Measurement & Analytics, manage the deployment, execution, and scaling of data science applications, and lead Data Engineering & Automated Pipelines. They will also join client calls as a SME to co-present and field technical and methodology questions, and establish robust Quality Assurance (QA) standards, automated data validation checks, and data governance practices across all incoming and outgoing client datasets.

Why It Might Be a Fit

The ideal candidate will have strong practical knowledge of Media Mix Modeling mechanics, diminishing return curves, and budget optimization. They will also have deep expertise in data pipeline design, automated ETL/ELT workflows, data warehousing, and automated QA practices to ensure top-tier data fidelity.

Requirements

• Data Science Fluency
• Strong practical knowledge of Media Mix Modeling mechanics, diminishing return curves, and budget optimization
• Meridian usage and experience a plus
• Data Engineering & Architecture
• Deep expertise in data pipeline design, automated ETL/ELT workflows, data warehousing, and automated QA practices to ensure top-tier data fidelity.
• Hands-on experience or deep familiarity with Google Cloud Platform (GCP) or another cloud platform (e.g., BigQuery, Cloud Functions, Orchestration tools).
• Strong proficiency in SQL and Python for building data pipelines, managing databases, and reviewing technical methodologies.
• Technical Storytelling
• Exceptional ability to demystify data science concepts and present confidently to non-technical client stakeholders.
• Product & Roadmap Management
• Strong capability to gather business requirements, define tool features, and direct technical product roadmaps.
• Data Proficiency
• Solid foundations in data analytics, spreadsheets, SQL and Python to effectively review methodologies, guide data science applications

Benefits

• Competitive Salary
• Paid medical at the base tier for the employee only
• All the standard medical, dental, vision options
• Unlimited PTO
• 60% STD at no cost to the employee
• 7 weeks Paid Parental leave after 1 years of service
• Supplemental product options such as critical illness, cancer, hospital, life, and more
• 4% 401k Match
• Hybrid work from schedule for those employees in our Orlando or Charlotte office
• Wellness Initiatives
• Summer Fridays (office closes at 2pm)
• Pet Benefits
• 3 & 5 year anniversary milestone gifts