Blend360 Data Science Manager -Marketing Mix Modeling \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Science Manager -Marketing Mix Modeling Full-time Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Job Description 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, youll own the end-to-end MMM processfrom data sourcing and model development to translating complex analytics into clear, executive-level recommendations. Youll work in a fast-paced, client-facing environment, partnering closely with stakeholders to solve ambiguous business problems through advanced analytics. What youll 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 youre passionate about the intersection of data science and marketingand want to work on impactful, high-visibility client workwed love to hear from you. Qualifications 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) Additional Information All your information will be kept confidential according to EEO guidelines. I'm interested I'm interested ImprintCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Science Manager -Marketing Mix Modeling Columbia, MD, USA Full-time I'm interested I'm interested

The role requires deep expertise in Marketing Mix Modeling (MMM), encompassing the entire process from data sourcing to model validation and translating outputs into actionable business recommendations. Candidates must demonstrate attention to detail under pressure, with a proven ability to deliver complex, high-visibility work accurately in fast-paced, deadline-driven settings. Strong business communication and storytelling skills are essential for creating executive-ready presentations and simplifying complex analytics for senior stakeholders. A problem-solving and advanced analytics mindset is needed to break down ambiguous business questions and deliver insight-driven solutions. Technical proficiency includes Python for data manipulation, modeling, and automation; SQL for data extraction and transformation; and Excel for rapid analysis and validation. Experience in building and validating predictive and causal models, such as regression, time series, uplift modeling, and Lasso/Ridge, is required. The ability to design, execute, and analyze experiments, including geo-tests, A/B tests, synthetic control, and difference-in-differences (DiD), is also necessary.