Marketing Science & Engineering Manager

Net Conversion; Orlando (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work in Orlando/Charlotte

Medical, dental, vision benefits

Unlimited PTO

Job summary

Net Conversion, a data-driven marketing and analytics agency in downtown Orlando, is seeking a Marketing Science & Engineering Manager. You will oversee client data pipelines, automate data workflows, and develop data science applications like Media Mix Models to deliver actionable insights across Marketing and Media Analytics teams.

The role requires 7–12 years of relevant experience, strong SQL and Python skills, and expertise in MMM and data engineering.

Qualifications

• 7–12 years of relevant experience in data science, analytics or data engineering.
• Bachelor's degree in Data Science or Data Engineering; Master’s preferred.
• Strong proficiency in SQL and Python.
• Experience with MMM, data pipelines, QA and data governance.
• Ability to present complex results to non-technical stakeholders.

Responsibilities

• Oversee data science applications, MMM, causal impact and market testing frameworks.
• Direct the design, build and maintenance of automated ETL/ELT pipelines and QA standards.
• Collaborate weekly with Media Analytics and Marketing to inform modeling insights.
• Lead deployment and enhancement of data pipelines within the GCP ecosystem.

Skills

Data Science

Media Mix Modeling

SQL

Python

GCP

Technical storytelling

Stakeholder communication

Education

Bachelor's degree in Data Science or Data Engineering

Master's degree preferred

Tools

BigQuery

Cloud Functions

Orchestration tools

Job description

We're a data-obsessed marketing and analytics agency in downtown Orlando, driven by

Description

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!

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 SalaryPaid medical at the base tier for the employee onlyAll the standard medical, dental, vision optionsUnlimited PTO60% STD at no cost to the employee 7 weeks Paid Parental leave after 1 years of serviceSupplemental product options such as critical illness, cancer, hospital, life, and more4% 401k MatchHybrid work from schedule for those employees in our Orlando or Charlotte officeWellness InitiativesSummer Fridays (office closes at 2pm)Pet Benefits3 & 5 year anniversary milestone gifts

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 characteristics. Net 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 [e-mail].