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We are seeking a Marketing Data Science & Analytics Manager who can bridge the gap between data modeling and business impact. This role will focus on leveraging data science models and analytical frameworks to generate actionable marketing insights, optimize campaign performance, and guide strategic decisions.
Job Responsibility:
Develop and deploy predictive and statistical models to evaluate marketing performance (e.g., attribution, media mix modeling, churn, LTV, segmentation, optimization)
Partner with marketing, product team to translate modeling results into clear business insights & recommendations that drive growth and ROI and communicate implications to non-technical stakeholders
Present findings to senior stakeholders through clear storytelling and visualization
Visualize and present analytical results using tools like Power BI, Excel, etc
Build and maintain scalable analytics pipelines using Python/R, SQL, and possibly cloud data platforms (GCP, AWS, Azure)
Partner with marketing operations to operationalize insights (e.g., audience targeting, spend optimization)
Collaborate with data engineers and analysts to improve data accessibility and accuracy
Support ongoing model performance monitoring and iterative improvements
Support MMM and app maintenance and development for simulation and optimization and further development. Push changes to production using AWS Sagemaker, EC2, Terraform, Bitbucket, etc
Assist with ad-hoc data requests, data exploration and building business knowledge models. Build intelligent dashboards if needed using SQL, PBI
Conduct cross-functional collaboration, stakeholder meetings and provide documentations and internal trainings
Lead projects, manage timelines, and ensure deliverables meet the business objectives and are delivered on time
Perform other duties as assigned or apparent
Work with marketing and product teams to design experiments, measure campaign ROI, and inform strategy
Requirements:
10 years marketing analytics and data science
Experience at Education, Retail, e-commerce, telecom, CPG, or B2C at scale
Media agencies with MMM ownership (e.g., Analytic Partners, Neustar, Gain Theory, Merkle)
Has built MMM end-to-end and have deep understanding on marketing media optimization, not just contributed
Experience presenting MMM outputs to executives and adjusting the model based on business feedback
Search / tROAS / Value-Based Bidding
Hands-on experience building or maintaining: tROAS models, geo experiments, incrementality tests
Media spend optimizers and bid strategies
Understands channel behavior and measurement nuances