JOB TITLE: Marketing Science & Engineering- Manager
DATE: 2026
DEPARTMENT: Analytics
REPORTS TO: VP, Analytics
MAJOR PURPOSE:This role will oversee our client data pipeline, to ensure accurate and automated media and business datasets, to ensure our data becomes actionable. Additionally, they will work on delivering adhoc and scheduled data science applications and insights, such as Media Mix Models, impact analysis, etc. In developing and delivering insights, they'll work cross-departmentally with Media Analytics and Marketing to enhance deliverables, create new and innovative solutions and overall uplevel our technology and analytics products.
MAJOR RESPONSIBILITIES: - Oversee Advanced Measurement & Analytics
- Manage the deployment, execution, and scaling of data science applications, include Media Mix Modeling (MMM), causal impact, and market testing frameworks
- Join client calls as a SME 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 Team
- Collaborate weekly with Media Analytics teams to ensure long-term modeling insights seamlessly inform tactical, fast-paced media optimizations.
Requirements
CANDIDATE SHOULD HAVE: - 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
EDUCATION & EXPERIENCE: - 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 computer (we have ergonomic sit stand desks)
What does Net Conversion have to offer?! 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
