Data Science Manager - MMM

Blend360 • Columbia, MD

3d

About The Position

Blend360 is looking for a marketing data scientist with deep Marketing Mix Modeling (MMM) expertise to help drive high-impact, data-driven decisions for our client.In this role, you'll own the end-to-end MMM process—from data sourcing and model development to translating complex analytics into clear, executive-level recommendations. You'll work in a fast-paced, client-facing environment, partnering closely with stakeholders to solve ambiguous business problems through advanced analytics.

Requirements

• Strong experience in marketing science, MMM, and advanced analytics
• Proficiency in Python, SQL, and Excel
• Ability to communicate clearly with technical and non-technical stakeholders
• A structured, detail-oriented approach to problem solving in fast-paced environments
• Marketing Mix Modeling (MMM) expertise: Deep understanding of the end-to-end MMM process, including data sourcing, model design and validation, and translating model outputs into clear, actionable business recommendations.
• Attention to detail under pressure: Proven ability to deliver complex, high-visibility work with accuracy and rigor while operating in fast-paced, deadline-driven environments.
• Business communication & storytelling: Strong capability to create polished executive-ready decks, simplify complex analytics, and confidently present insights to senior stakeholders.
• Problem-solving & advanced analytics mindset: Skilled at breaking down ambiguous business questions, deeply exploring data, and delivering actionable, insight-driven solutions.
• Technical proficiency:Python: Data manipulation, modeling, and automationSQL: Efficient data extraction and transformationExcel: Rapid analysis and data validation/sanity checksMachine Learning, Causal Inference & Experimentation:Build and validate predictive and causal models (e.g., regression, time series, uplift modeling, Lasso/Ridge)Design, execute, and analyze experiments, including geo-tests, A/B tests, synthetic control, and difference-in-differences (DiD)

Responsibilities

• Lead end-to-end Marketing Mix Modeling (MMM), including model design, validation, and business recommendations
• Develop and validate advanced predictive and causal models (regression, time series, Lasso/Ridge, uplift)
• Design and analyze experiments such as A/B tests, geo-tests, synthetic control, and DiD
• Translate complex analytics into compelling stories and executive-ready presentations
• Collaborate with cross-functional teams and manage high-visibility deliverables under tight deadlines

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1-10 employees