AI Summary
Seeking a Marketing Data Science Manager with 10+ years of experience to build and deploy marketing data science models. Responsibilities include translating data into actionable insights, optimizing campaign performance, and presenting findings to senior stakeholders. Requires strong analytical, technical, and business acumen, with experience in MMM end-to-end development and various marketing analytics techniques.
Key Highlights
100% Remote contract position for 6+ months
Requires 10 years of marketing analytics and data science experience
Must have built MMM end-to-end and understand marketing media optimization
Key Responsibilities
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.
Technical Skills Required
Benefits & Perks
100% Remote
Nice to Have
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).
Search / tROAS / Value-Based Bidding
tROAS models
geo experiments
incrementality tests
Media spend optimizers and bid strategies
Understands channel behavior and measurement nuances.
Job Description
Myticas's direct client is currently seeking a Marketing Data Science Manager (MMM) for a 100% Remote contract position.
Location: 100% REMOTE
Duration: 6 Months+ Contract
The ideal candidate combines strong analytical and technical skills with business acumen and communication ability to translate data into meaningful narratives for stakeholders.
- 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.
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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.
Key Responsibilities
- 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.
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