Marketing Science & Engineering Manager

Net Conversion LLC•Chicago, IL

2d•Hybrid

About The Position

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.

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

Nice To Haves

Meridian usage and experience a plus

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.

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