Marketing Science & Engineering Manager

About Net Conversion:

Were a data-obsessed marketing and analytics agency in downtown Orlando driven by a relentless pursuit of morefor 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. Were not corporatewere better and hopefully youll learn why!

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 developing and delivering insights theyll 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.

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
• Bachelors degree in Data Science or Data Engineering required; Masters degree preferred.

PHYSICAL REQUIREMENTS:

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

Net Conversion does not discriminate based upon race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or other applicable legally protected Conversion is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability please let us know at .