Associate Marketing Data Scientist

What you'll do

• Design and execute innovative research studies to uncover consumer trends, behaviors, and motivations.
• Use discrete choice models and unsupervised learning to produce data-driven customer segmentations.
• Troubleshoot media measurement problems arising from changes in the martech or adtech ecosystems.
• Design and analyze A/B tests to evaluate the effectiveness of marketing and media exposure.
• Develop and interpret formal models, such as marketing mix and attribution models, to measure causal effects.
• Build and maintain data pipelines and feature stores to support real-time and batch inference for ML workloads.
• Architect and build GenAI-powered data products that transform multi-modal data into actionable insights.
• Formulate and solve optimization problems to evaluate and improve media and marketing performance.

What we're looking for

• Bachelor's degree with significant academic exposure to formal or quantitative methods.
• Demonstrated academic achievement in statistics and probability, typically involving graduate-level coursework.
• Demonstrated experience with Python.
• Demonstrated experience with acquiring, organizing, cleansing, manipulating, and merging large volumes of data.
• Demonstrated experience with performing exploratory quantitative analysis.
• Demonstrated experience with fitting, evaluating, and interpreting relevant statistical or machine learning models.
• Familiarity with SQL, GenAI-powered coding tools, Tableau or other data visualization tools, cloud computing, and CI/CD (GitLab or GitHub).
• Graduate degree (Master’s or Doctorate) with significant graduate-level academic exposure to formal or quantitative methods (preferred).
• Demonstrated experience using big data technologies for data science, particularly Spark (preferred).