Marketing Data Scientist

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.

The ideal candidate will possess strong expertise in Python, time series analysis, marketing analytics, and statistical modeling while also demonstrating solid software engineering and cloud platform experience. You will work closely with business stakeholders, marketing teams, data scientists, and engineers to build scalable analytical solutions that improve decision-making and maximize marketing effectiveness.

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Monitor analytical applications and workflows using Data Dog 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.

• 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.

• Pandas
• Num Py
• Py Test
• Streamlit
• Scikit-learn (preferred)
• Stats models (preferred)
• Jupyter Notebooks

• Understanding of marketing performance measurement frameworks.
• Experience evaluating campaign effectiveness and marketing ROI.
• Knowledge of customer…