MMM Data Scientist

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.

What you’ll do:

• 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 you bring:

• 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

If you’re passionate about the intersection of data science and marketing—and want to work on impactful, high-visibility client work—we’d love to hear from you.

• 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 automation

  • SQL: Efficient data extraction and transformation

  • Excel: Rapid analysis and data validation/sanity checks

• Machine 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)

All your information will be kept confidential according to EEO guidelines.