Senior Data Scientist, Media Data Science & Analytics

What you'll do

• Apply causal inference methods like quasi-experimental designs to estimate the impact of media investments.
• Evaluate marketing strategy effectiveness while accounting for data limitations, confounding factors, and selection bias.
• Translate complex causal findings into decision-oriented narratives for senior marketing and business stakeholders.
• Develop advanced statistical models and machine learning solutions with a focus on interpretability and causal validity.
• Write high-quality Python and SQL code to support reproducible research and exploratory analysis.
• Identify and implement improved measurement practices based on academic research and industry experience.
• Prepare, validate, and analyze complex marketing datasets while identifying potential data quality issues.
• Communicate data risks, constraints, and uncertainty levels clearly to ensure informed investment decisions.

What we're looking for

• A Doctorate, Master's, or Bachelor's degree in a quantitative field like Data Science, Mathematics, Statistics, or Economics.
• Minimum of 1 year experience with a Doctorate, 3 years with a Master's, or 5 years with a Bachelor's in data science.
• At least 1 year of experience performing causal inference to measure the impact of marketing investments.
• At least 1 year of experience specifically within media or marketing data science.
• At least 5 years of experience building machine learning models.
• At least 5 years of experience writing SQL to analyze data.
• At least 5 years of experience writing code in Python.
• At least 3 years of experience communicating complex technical concepts to non-technical partner teams.