Senior Data Scientist especializado en experimentación y medición de impacto causal, liderando el diseño, ejecución y análisis de experimentos A/B y métodos cuasi-experimentales para impulsar decisiones de negocio.
Responsibilities
Diseñar y medir el impacto de iniciativas basadas en evidencia causal sólida
Liderar el diseño y la medición de experimentos A/B de principio a fin
Definir métricas y metodologías de medición
Analizar resultados y defender conclusiones ante stakeholders
Implementar modelos de ML en producción y medir su impacto incremental
Lead data science initiatives for Net Revenue Management platform, building and operationalizing statistical, econometric, and machine learning models to drive commercial decisions.
Locations (3)
Aarhus, Central Jutland, Denmark
Gdańsk, Pomerania, Poland
Viby J, Central Jutland, Denmark
Compensation
competitive salary and benefits
Responsibilities
Build and operationalize forecasting, pricing, and promotional effectiveness models
Design and develop statistical, econometric, and machine learning models
Apply ML models to evaluate commercial initiatives
Partner with engineers to establish scalable MLOps and model monitoring
Translate business opportunities into scalable analytical solutions
Support applied cognitive science research at the Center for Applied Brain and Cognitive Sciences by providing statistical analysis, modeling, and mentorship.
Compensation
Minimum $67,500.00, Midpoint $67,500.00, Maximum $67,500.00
Responsibilities
Provide statistical support across ongoing research projects
Conduct statistical modeling using mixed effect/multilevel models and regression frameworks
Develop and document code and pipelines using R and Python
Assist in training and mentoring junior team members on data preprocessing and analysis
Conduct data-driven research in support of CABCS objectives
Requirements
PhD in Psychology, Cognitive Science, Statistics, or a related field
Lead the design, development, and deployment of advanced media measurement and marketing effectiveness models to drive data‑driven decision‑making for clients.
Responsibilities
Lead end‑to‑end development and delivery of Marketing Mix Models (MMM) using open‑source frameworks
Manage, mentor, and guide a team of data scientists
Collaborate with senior client stakeholders and cross‑functional teams
Design Bayesian and frequentist MMM frameworks
Oversee model validation, diagnostics, and testing
As a Marketing Mix Modeling (MMM) Manager, you will lead the design, development, and deployment of advanced media measurement and marketing effectiveness models to drive data-driven decision-making for clients.
Locations (2)
Kolkata, West Bengal, India
India
Responsibilities
Lead end-to-end development and delivery of Marketing Mix Models (MMM) using open-source frameworks including PyMC, Meridian, and Robyn.
Manage, mentor, and guide a team of data scientists, setting clear objectives and ensuring high-quality model outputs.
Collaborate with senior client stakeholders and cross-functional teams to translate business objectives into robust measurement strategies.
Design Bayesian and frequentist MMM frameworks to evaluate media spend effectiveness, attribution, and budget optimization across channels.
Oversee model validation, diagnostics, and testing to ensure reliability and business relevance of insights.
Requirements
I&P - GN - SONG - AI & Data - Marketing - MMM - Manager
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 3, 2026
Lead the design, development, and deployment of advanced media measurement and marketing effectiveness models (MMM) to drive data-driven decision-making for clients.
Responsibilities
Lead end-to-end development and delivery of Marketing Mix Models (MMM) using open-source frameworks including PyMC, Meridian, and Robyn.
Manage, mentor, and guide a team of data scientists, setting clear objectives and ensuring high-quality model outputs.
Collaborate with senior stakeholders and cross-functional teams to translate business objectives into robust measurement strategies.
Design Bayesian and frequentist MMM frameworks to evaluate media spend effectiveness, attribution, and budget optimization across channels.
Oversee model validation, diagnostics, and testing to ensure reliability and business relevance of insights.
Marketing Mix Modeling (MMM) Consultant responsible for building, calibrating, and interpreting marketing mix models to help clients measure and optimize media investments.
Responsibilities
Develop and implement Marketing Mix Models using open-source frameworks including PyMC, Google Meridian, and Meta Robyn
Conduct data preparation, cleaning, and exploratory analysis on media spend, sales, and external factor datasets
Apply Bayesian and regression-based MMM techniques to quantify channel contribution, ROI, and diminishing returns curves
Collaborate with client stakeholders to gather requirements, present model outputs, and translate results into actionable media recommendations
Support model validation, sensitivity analysis, and scenario planning to guide budget optimization decisions
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