Blend · 1 day ago
MMM Data Scientist
United States
Full-time
Remote
Senior LevelBlend 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. They are seeking a marketing data scientist with deep Marketing Mix Modeling expertise to drive high-impact, data-driven decisions for their clients, owning the end-to-end MMM process and collaborating with stakeholders to solve business problems through advanced analytics.
Business IntelligenceData GovernanceData IntegrationData ManagementData VisualizationDatabaseInformation TechnologyIntelligent SystemsIT InfrastructureProfessional Services
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
Qualification
Required
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)
Company
Blend
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.
Founded in 2016
501-1000 employees
H1B Sponsorship
Blend has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (33)
2024 (30)
2023 (28)
2022 (32)
2021 (21)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$100MKey Investors
Recognize Partners
2022-08-09Private Equity· $100M
Leadership Team
Patrick Hennessy
Chief Executive Officer
Rob Fuller
Chief Solutions Officer
Recent News
PR Newswire
2025-12-05
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2025-10-03
Company data provided by crunchbase