Director, Data Science

NOVUS Media LLC•Berwyn, IL

10h•Hybrid

About The Position

We are hiring a Director of Data Science to lead and deliver advanced measurement and analytics work across a portfolio of analytics-engaged clients. This is a highly visible, client-facing role where you will own the rigor and narrative behind our measurement recommendations — from Marketing Mix Modeling and Multi-Touch Attribution to bespoke analyses like creative wear-in/wear-out and media optimization. You’ll work fluidly across multiple MMM approaches and platforms, you will develop new and interesting models using Python, and you’re fluent in AI-assisted workflows that accelerate your path from raw data to client-ready insight.

Requirements

Deep hands-on experience with Marketing Mix Modeling — you have built, run, and presented MMM results to sophisticated client stakeholders
Proficiency in statistical modeling and a working understanding of Bayesian and frequentist approaches relevant to media measurement
Strong command of Python for data manipulation, modeling, and analysis
SQL fluency; comfort working with large, fragmented datasets across platforms
Fluent in the digital ad ecosystem — its data sources, measurement concepts, and ontology — across paid social, paid search, programmatic, and linear/streaming
Demonstrated ability to work with and interpret results from MTA and BLS frameworks
AI-native working style: you routinely use modern AI coding assistants to accelerate analysis and model development
Excellent communication skills — you can explain a partial F-test to a statistician and a MMM-informed budget reallocation to a CMO

Nice To Haves

Direct experience with MMM partners & tools such as Arima, OptiMine, Meridian, etc.
Familiarity with Snowflake and modern data stack tooling
Experience with creative analytics frameworks (wear-in/wear-out, attention metrics, creative tagging)
Background working with retail, CPG, financial services, or other data-intensive verticals
Exposure to privacy-preserving measurement approaches (clean rooms, modeled conversions, aggregated signals)
Bachelor’s or advanced degree in mathematics, statistics, computer science, economics, or a related quantitative field
8–12 years of professional experience in marketing analytics, data science, or a closely related field
Agency-side or media measurement experience is desirable, but not required

Responsibilities

Support creation and interpretation of Marketing Mix Modeling (MMM) engagements, including scoping, model interpretation, validation, and client presentation
Operate across multiple MMM approaches and platforms depending on client context, including both proprietary and open-source methodologies
Support structuring and validating measurement tools such as Match-Market Tests (MMTs) and Brand Lift Studies (BLS) analyses to triangulate media performance
Design and deliver bespoke analytical frameworks, including: Creative wear-in and wear-out modeling, Budget optimization and scenario planning, Incrementality and causal inference analyses, Audience and channel mix analyses
Serve as a senior analytical presence in client relationships, supporting the Analytics team in translating complex model outputs into clear strategic recommendations
Participate in QBRs, measurement planning sessions, and executive-level presentations
Collaborate with media strategy, planning, and activation teams to ensure measurement is embedded in the planning cycle, not bolted on
Contribute to the ongoing evolution of NOVUS’s measurement methodology and toolset
Identify opportunities to use off-the-shelf platforms to increase modeling velocity without sacrificing quality
Mentor and develop junior team members across Data & Analytics; contribute to a culture of analytical rigor and intellectual curiosity
Stay current on the measurement landscape and bring forward-looking POVs on platform changes, signal loss, and evolving best practices