Causal Marketing Data Scientist (MMM & Bayesian)

Confidential; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Confidential is seeking a Data Scientist focused on causal inference and marketing measurement to join our Data Science team. You will design models to measure causal impact of marketing activities on brand performance, using MMM, attribution, and Bayesian methods.

The role emphasizes communicating insights to marketing and brand leaders, partnering with Product and Engineering to translate modeling outputs into scalable capabilities. Experience with PyMC/Stan is favored.

Qualifications

• Applied experience or strong academic research in causal inference and marketing measurement.
• Strong grounding in probability theory and experimental design.
• Hands-on Bayesian modeling including priors and posterior evaluation.
• Ability to translate modeling results into actionable insights for non-technical stakeholders.

Responsibilities

• Design, build, and validate causal models measuring the impact of marketing and brand activities.
• Apply MMM, attribution, and other causal inference techniques.
• Quantify uncertainty with credible intervals and communicate findings to stakeholders.
• Collaborate with Product and Engineering to operationalize modeling outputs in products.

Skills

Causal inference

Marketing measurement

Bayesian modeling

Python

Data visualization

Communication

Collaboration

Education

MS/PhD in Statistics/Data Science/Econometrics

Tools

PyMC

Stan

Spark

PySpark

Job description

Confidential is seeking a Data Scientist focused on causal inference and marketing measurement to join our Data Science team. You will design models to measure causal impact of marketing activities on brand performance, using MMM, attribution, and Bayesian methods.

The role emphasizes communicating insights to marketing and brand leaders, partnering with Product and Engineering to translate modeling outputs into scalable capabilities. Experience with PyMC/Stan is favored.