Data Scientist

What you'll do

• Design and implement marketing mix models to quantify effectiveness and inform budget allocation.
• Build production-grade causal inference pipelines to isolate true lift from marketing activities.
• Execute incremental tests and translate results into actionable campaign recommendations.
• Apply ML techniques like propensity modeling and clustering to shape audience strategies.
• Develop and maintain production-grade machine learning models for ongoing marketing optimization.
• Leverage Generative AI and LLMs to automate reporting workflows and accelerate insight generation.
• Communicate complex model outputs and experiment results to both technical and non-technical audiences.

What we're looking for

• Hands-on experience in marketing science, including building marketing mix models, causal inference, and incremental measurement.
• Experience designing and executing marketing experiments.
• Proficiency applying ML techniques such as segmentation and propensity modeling to marketing and customer datasets.
• Strong proficiency in Python and data science libraries like pandas, NumPy, scikit-learn, or statsmodels.
• Strong command of SQL for querying and analyzing large-scale marketing and media datasets.
• Familiarity with Generative AI and LLMs, including integrating these tools into analytical workflows.
• Strong written and verbal communication skills to present data stories to both technical and non-technical audiences.
• Advanced degree in Statistics, Machine Learning, Econometrics, Marketing Science, or a related quantitative field (preferred).