Marketing Data Scientist
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Job Description
Marketing Data Scientist enhancing an analytics platform for marketing effectiveness and ad spend optimization. Utilizing Python and statistical models in collaboration with stakeholders.
Responsibilities:
- Develop and maintain marketing ROI and analytics models
- Analyze marketing and sales data to measure channel performance and advertising effectiveness
- Partner with business stakeholders to address questions, review model outputs, and identify key business drivers behind marketing performance results
- Work with Bayesian and linear models to evaluate marketing contribution and ROI
- Support and improve Streamlit-based applications used for reporting and visualization
- Build scalable Python-based data workflows and analytical tools
- Export and manage reporting outputs using Excel and related formats
- Collaborate with engineering and cross-functional teams to improve code quality and maintainability
- Work within AWS environments including S3 and EC2
- Monitor applications and workflows using DataDog
Requirements:
- Strong Python programming experience
- Experience with:
- Pandas
- NumPy
- PyTest
- Streamlit
- Experience working with time series data
- Understanding of statistical modeling techniques including Bayesian and linear models
- Knowledge of software engineering best practices
- Experience with AWS services such as S3 and EC2
- ****Nice to Have****
- Experience with Marketing Mix Modeling (MMM)
- Experience in marketing analytics or ad-tech environments
- Familiarity with ROI optimization and attribution modeling
- Exposure to DataDog or similar monitoring tools
- Spanish proficiency is a plus
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