Senior Data Scientist — Real-Time ML & Personalization

The Walt Disney Company; Glendale (CA); On-site; USD 114,000 - 190,000; Full time

Job summary

The Walt Disney Company in Los Angeles seeks a Senior Data Scientist for the News & Entertainment ML Platform to perform exploratory data analysis, run A/B tests, and help define metrics for Disney’s brands. You will collaborate with engineers and product teams to translate findings into actionable insights.

Responsibilities include tracking metrics, supporting ML engineers with feature analysis, and applying statistics with Python, SQL, and PySpark in a fast-paced, data-driven environment

Qualifications

• Bachelor’s degree in a quantitative field or equivalent work experience.
• 5+ years of experience in data science or analytics.
• Proficiency in Python, SQL, and PySpark for data analysis.
• Working knowledge of statistics and running A/B tests.
• Ability to perform exploratory data analysis and identify trends.
• Experience with cloud data platforms (AWS, Databricks, Snowflake).
• Clear written and verbal communication skills; agile collaboration.

Responsibilities

• Conduct exploratory data analysis on user, content, and engagement data.
• Run A/B tests and analyze results; summarize findings for the team.
• Define and track success metrics for features or product areas.
• Support ML Engineers with feature analysis and model evaluation.
• Translate analyses into actionable recommendations for product and roadmap discussions.
• Apply statistical analysis using Python, SQL, and PySpark; use analytics tools.
• Collaborate with product, design, and engineering on initiatives.

Skills

Python

SQL

PySpark

A/B testing

EDA

Cloud platforms

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or equivalent

Tools

Adobe Analytics

Tableau/Looker

Databricks/Snowflake

Job description

The Walt Disney Company in Los Angeles seeks a Senior Data Scientist for the News & Entertainment ML Platform to perform exploratory data analysis, run A/B tests, and help define metrics for Disney’s brands. You will collaborate with engineers and product teams to translate findings into actionable insights.

Responsibilities include tracking metrics, supporting ML engineers with feature analysis, and applying statistics with Python, SQL, and PySpark in a fast-paced, data-driven environment