Marketing Data Scientist | Mexico, Chicago We are seeking a highly analytical and data-driven Marketing Data Scientist to support the development, optimization, and enhancement of advanced marketing analytics and ROI measurement platforms. This role focuses on leveraging statistical modeling, machine learning techniques, and data science methodologies to evaluate marketing performance, optimize advertising investments, and generate actionable business insights. This position offers the opportunity to contribute directly to production-grade machine learning applications while collaborating with experienced domain experts in marketing science, analytics, and data engineering.

Key Responsibilities
Marketing Analytics & Performance Measurement

Develop, maintain, and enhance marketing effectiveness and ROI measurement models.

Analyze marketing, advertising, and sales performance data to identify growth opportunities and optimization strategies.

Measure channel performance across digital and traditional marketing initiatives.

Evaluate advertising effectiveness and campaign performance using advanced analytical techniques.

Generate actionable recommendations to improve marketing investments and business outcomes.

Statistical Modeling & Data Science

Build and deploy statistical models using Bayesian and linear modeling techniques.

Develop predictive and explanatory models to understand marketing contribution and revenue impact.

Perform time series analysis to evaluate trends, seasonality, and forecasting opportunities.

Identify key business drivers influencing customer acquisition, engagement, and conversion performance.

Support continuous model validation, enhancement, and optimization activities.

Business Collaboration & Insights

Partner with business stakeholders to understand analytical requirements and strategic objectives.

Present model outputs, insights, and recommendations to technical and non-technical audiences.

Translate complex analytical findings into meaningful business insights.





Support data-driven decision-making across marketing and leadership teams.

Contribute to strategic discussions around marketing optimization and growth initiatives.

Application Development & Reporting

Develop and enhance Streamlit-based analytical applications and dashboards.

Build scalable Python-based workflows for data processing, reporting, and model execution.

Create automated reporting solutions and export analytical outputs using Excel and related formats.

Improve user experience and functionality of reporting platforms.

Ensure analytical tools remain reliable, scalable, and maintainable.

Data Engineering & Cloud Operations

Design and maintain efficient data workflows and analytical pipelines.

Work within AWS environments to support data processing and application deployment.

Manage and utilize AWS services including S3 and EC2.

Collaborate with engineering teams to improve code quality, scalability, and maintainability.

Support deployment and monitoring of production analytics solutions.

Monitoring & Optimization

Monitor analytical applications and workflows using DataDog or similar monitoring platforms.

Troubleshoot issues related to data processing, model execution, and application performance.

Optimize workflows to improve efficiency, reliability, and scalability.

Implement software engineering best practices for testing and quality assurance.

Required Skills
Data Science & Analytics

Strong experience in Python programming for data science and analytics.

Experience working with large datasets and marketing performance data.

Strong understanding of statistical analysis and predictive modeling.

Hands-on experience with:





Bayesian Modeling

Linear Regression Models

Time Series Analysis

Forecasting Techniques

Ability to interpret and communicate analytical findings effectively.

Python & Data Science Libraries

Pandas

NumPy

PyTest

Streamlit

Scikit-learn (preferred)

Statsmodels (preferred)

Jupyter Notebooks

Marketing Analytics

Understanding of marketing performance measurement frameworks.

Experience evaluating campaign effectiveness and marketing ROI.

Knowledge of customer acquisition, attribution, and performance metrics.

Ability to analyze multi-channel marketing data.

Experience translating marketing data into business insights.

Cloud & Engineering Skills

Experience working with AWS cloud services, including:

Amazon S3

Amazon EC2

Knowledge of software engineering best practices.

Familiarity with testing frameworks and code quality standards.

Understanding of scalable application development and deployment workflows.

Experience working in collaborative development environments.

Preferred Skills

Experience with Marketing Mix Modeling (MMM).

Experience in marketing analytics, advertising technology, or digital marketing environments.

Familiarity with attribution modeling and customer journey analysis.

Knowledge of ROI optimization frameworks.

Exposure to machine learning deployment workflows.

Experience with DataDog or similar monitoring solutions.

Familiarity with experimentation and A/B testing methodologies.

Spanish language proficiency is considered an advantage.

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Marketing Analytics, or a related quantitative field.

Master’s degree in Data Science, Analytics, Statistics, Applied Mathematics, Machine Learning, or a related discipline is preferred.

Relevant certifications in Data Science, AWS, Analytics, or Machine Learning are advantageous.

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📌 Marketing Data Scientist (Zona Centro)
🏢 DigitalXNode
📍 Zona Centro