Design, develop, and deploy predictive models, segmentation frameworks, and machine learning solutions to support marketing performance, targeting, and customer analytics.
Analyze large, complex datasets to uncover insights that inform strategic and tactical business decisions.
Build and maintain robust data pipelines to ensure clean, reliable, and well-structured data for analysis and modeling.
Ensure model integrity and performance through validation, QA processes, documentation, and ongoing monitoring.
Design and execute experiments (including A/B and multivariate tests) to evaluate campaign effectiveness and optimize outcomes.
Partner with strategy, media, and client services teams to translate business needs into scalable, data-driven solutions.
Present findings and recommendations through clear storytelling, visualizations, and executive-ready materials.
Contribute to team development through collaboration, peer review, knowledge sharing, and cross-training.
Stay current with emerging data science tools, techniques, and best practices, helping evolve the team’s capabilities and standards.

Requirements

3–5+ years of applied data science experience, ideally in marketing, media, or customer analytics environments.
Advanced proficiency in SQL for complex querying and data manipulation.
Strong Python skills for data analysis, modeling, automation, API integration, and production workflows.
Hands-on experience with machine learning frameworks (e.g., scikit-learn, XGBoost) and cloud/data platforms (e.g., AWS, Azure, Snowflake).
Strong foundation in statistics, experimental design, and computer science principles.
Experience building and deploying models in production environments.
Familiarity with marketing use cases such as audience segmentation, attribution modeling, audience creation, and trade area analysis.
Experience with Alteryx is a strong plus.
Experience with visualization tools such as Tableau (or similar BI tools) is a plus.
Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceSQLPythonmachine learningscikit-learnXGBooststatisticsexperimental designdata analysisdata manipulation

Soft Skills

problem-solvingattention to detailcollaborationcommunicationstorytelling