Walter
MarketingDataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Marketing Data Scientist at Walter. Skills: Python, Statistical modeling, Marketing analytics, AWS. Develop marketing ROI models. Maintain analytics models”
What You'll Achieve.
Enhance internally built marketing ROI platform; Enhance analytics platform; Optimize ad spend; Build scalable data science solutions; Measure channel performance; Measure advertising effectiveness; Identify key business drivers; Evaluate marketing contribution; Evaluate ROI; Improve code quality; Improve maintainability
Industry & Context.
Analyze marketing and sales data; Address questions; Identify key business drivers; Evaluate marketing contribution; Optimize ad spend
Overlap till 3pm CST needed
What They're Looking For.
Must Have
Python programming experience, Experience with time series data, Statistical modeling techniques, Bayesian models, Linear models, Software engineering best practices, AWS services, S3, EC2
Nice to Have
Marketing Mix Modeling (MMM), Marketing analytics, Ad-tech environments, ROI optimization, Attribution modeling, DataDog, Spanish proficiency
What You'll Do.
Develop marketing ROI models
Maintain analytics models
Analyze marketing data
Measure channel performance
Measure advertising effectiveness
Address stakeholder questions
Identify business drivers
Evaluate marketing contribution
Support Streamlit applications
Improve Streamlit applications
Build Python data workflows
Build analytical tools
Export reporting outputs
Manage reporting outputs
Improve maintainability
How You'll Work.
Team & Collaboration
Partner with business stakeholders; Collaborate with engineering teams; Collaborate with cross-functional teams; Deep collaboration with domain experts; Deep collaboration with applied data teams
Full Job Description
### Job Description We are seeking a Marketing Data Scientist to support and enhance internally built marketing ROI and analytics platform. This role focuses on analyzing marketing effectiveness, optimizing ad spend, and building scalable data science solutions using Python and statistical modeling techniques. The ideal candidate will have experience working with time series data, marketing analytics, and modern Python data science libraries, along with strong software engineering fundamentals. ### Tasks & 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 **Engagement highlights:** * Immediate contribution to a live ML application with clear ownership * Deep collaboration with domain experts and applied data teams * Opportunities to apply and grow expertise in both model development and deployment workflows * Overlap till 3pm CST needed **Requirements** ### Required Skills * 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 **
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