Marketing Science & Engineering Manager

About Net Conversion: We're a data-obsessed marketing and analytics agency in downtown Orlando, driven by a relentless pursuit of "more"—for our clients and ourselves. Our people are our differentiator, fostering a unique, award-winning culture (10+ times "Best Place to Work") that champions disruptive thinking and work-life balance. We're not corporate—we’re better, and hopefully, you’ll learn why!

About the role

This role will oversee our client data pipeline to ensure accurate and automated media and business datasets, making our data actionable. Additionally, they will work on delivering ad-hoc and scheduled data science applications and insights, such as Media Mix Models and impact analysis. In developing and delivering insights, they’ll collaborate cross-departmentally with Media Analytics and Marketing to enhance deliverables, create innovative solutions, and uplevel our technology and analytics products.

Responsibilities

• Oversee Advanced Measurement & Analytics:
  • Manage the deployment, execution, and scaling of data science applications, including Media Mix Modeling (MMM), causal impact, and market testing frameworks.
  • Join client calls as a subject matter expert to co-present and field technical and methodology questions.
• Lead Data Engineering & Automated Pipelines:
  • Direct the data management team in designing, building, and maintaining automated ETL/ELT pipelines to ensure client data is accurate, standardized, and seamlessly integrated across platforms.
  • Establish robust Quality Assurance (QA) standards, automated data validation checks, and data governance practices across all incoming and outgoing client datasets.
  • Identify and execute pipeline automation opportunities within our GCP ecosystem to enhance proprietary tech (Conversionomics), optimize query performance, and eliminate manual data handling.
• Bridge Media & Data Teams:
  • Collaborate weekly with Media Analytics teams to ensure long-term modeling insights seamlessly inform tactical, fast-paced media optimizations.

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 and guide data science applications.

Qualifications

• 7-12 years relevant experience.
• Bachelor's degree in Data Science or Data Engineering required; Master's degree preferred.

Physical Requirements

• Periods sitting at a desk and monitoring a computer (we have ergonomic sit-stand desks).

Benefits

• Competitive salary.
• Paid medical at the base tier for the employee only.
• Standard medical, dental, and vision options.
• Unlimited PTO.
• 60% short-term disability (STD) at no cost to the employee.
• 7 weeks paid parental leave after 1 year of service.
• Supplemental product options such as critical illness, cancer, hospital, life, and more.
• 4% 401k match.
• Hybrid work schedule for employees in our Orlando or Charlotte offices.
• Wellness initiatives.
• Summer Fridays (office closes at 2pm).
• Pet benefits.
• 3 & 5 year anniversary milestone gifts.