Senior Data Scientist, Media Mix & Growth Analytics

Warner Media, LLC.; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Warner Bros. Discovery is seeking a Senior Data Scientist to join the Data Science team supporting HBO Max at a pivotal growth stage. You will lead MMM, attribution, and optimization initiatives to inform media planning across markets and platforms.

Collaborate with Marketing, Analytics, Finance, Engineering, and other partners to translate model outputs into clear business recommendations and scalable solutions.

Qualifications

• BA/BS in quantitative field is required; Masters/PhD a plus.
• 4+ years building data science models (multivariate regression, time series).
• 1+ year in Media Mix Modeling and attribution modeling.
• Experience with SQL and R and/or Python.
• Databricks and BigQuery experience preferred.
• Strong storytelling and ability to translate model outputs to business actions.

Responsibilities

• Performance analysis and modeling to measure campaigns.
• Analyze media spend and measure performance.
• Lead development of data framework and analytical approaches.
• Develop, maintain, and refine market mix and attribution models.
• Build optimization algorithms to maximize growth and revenue.
• Synthesize analytics into actionable stories for execs.
• Present drivers behind media effectiveness and craft action plans.

Skills

Media Mix Modeling

Multi-touch Attribution

SQL

Python

R

Databricks

AI tools

Optimization

Data storytelling

Education

BA/BS in quantitative field (analytics, stats, math, econ, IE)

Masters/PhD a plus

Tools

Databricks

BigQuery

RShiny

Job description

Warner Bros. Discovery is seeking a Senior Data Scientist to join the Data Science team supporting HBO Max at a pivotal growth stage. You will lead MMM, attribution, and optimization initiatives to inform media planning across markets and platforms.

Collaborate with Marketing, Analytics, Finance, Engineering, and other partners to translate model outputs into clear business recommendations and scalable solutions.