Senior Product Data Scientist, Media Services

What you'll do

• Lead analysis of content discovery and engagement, translating findings into recommendations and product strategy.
• Architect experimentation and apply causal inference and ML to measure impact and drive growth.
• Set data infrastructure and technical direction, and mentor data scientists across the organization.

What they ask for

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 7+ years extracting insights from large datasets using Python and SQL.
• 7+ years applying statistical methods to classification, segmentation, forecasting, and customer lifetime value problems.
• Experience scaling experimentation platforms, applying causal inference methods, and building ML models that inform business and product decisions.

Nice to have

• Master's or PhD in a quantitative field.
• Experience with production ML, LLMs/GenAI, Spark, or media and entertainment.

Pay

$184,700 and $324,800 (base salary); $175,000 and $308,500 (base salary)

Tools

Python, SQL, LLMs, GenAI, Spark

AI focus

Develop ML models for customer scoring, segmentation, and lifetime value; apply causal inference; use LLMs and GenAI to address content and customer-experience challenges and scale data-science workflows.