Job Posting Title:
Senior Data Scientist
Req ID:
Job Description:
Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
The News & Entertainment Machine Learning (N&E ML) team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across Disney's News & Entertainment portfolio including ABC News, ABC Entertainment, National Geographic, Marvel, and Disney Studios. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms across one of the world's most iconic collections of entertainment brands.
As a Senior Data Scientist, you will conduct exploratory data analysis and support experimentation for the N&E ML Platform, helping ensure that machine learning and personalization work is grounded in reliable data and sound statistical practice. Under the guidance of the Lead Data Scientist and senior stakeholders, you will run A/B tests, analyze results, and help define and track success metrics for specific product areas or brands within Disney's News & Entertainment portfolio. You will work closely with Machine Learning Engineers on feature analysis and model evaluation, and translate your findings into clear recommendations for your immediate team. Your impact will be measured by the quality and reliability of the analyses you produce and how effectively they inform decisions within your area of focus.
Responsibilities:- Exploratory Data Analysis: Conduct exploratory data analysis on user, content, and engagement data within an assigned brand or product area, surfacing patterns and trends for review with senior data scientists and stakeholders.
- A/B Test Execution & Analysis: Run A/B tests and other controlled experiments under established methodology, analyze results, and summarize findings clearly for your immediate team.
- Metric Tracking: Help define and track success metrics for specific features or product areas, and monitor model performance against them, escalating anomalies to senior team members.
- Support for ML Engineering: Work with Machine Learning Engineers on feature analysis and model evaluation for your assigned area, providing data support for drift detection and performance reviews.
- Insight Communication: Translate analysis into clear findings and recommendations for your immediate team, supporting (rather than leading) broader product and roadmap discussions.
- Statistical Analysis: Apply statistical analysis using Python, SQL, and PySpark to datasets within your area of focus, using tools such as Adobe Analytics to support behavioral analysis.
- Collaboration & Growth: Collaborate with product, design, and engineering partners on assigned initiatives, and develop toward broader ownership of experimentation and metrics design over time.
Basic Qualifications- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a comparable quantitative field of study, and/or equivalent work experience
- 5+ years of experience in data science, analytics, or a related field
- Proficiency in Python, SQL, and PySpark for data analysis and manipulation
- Working knowledge of statistical analysis and experimentation, including running and interpreting A/B tests under established methodology
- Ability to conduct exploratory data analysis (EDA) and identify patterns in user behavior data
- Experience working with cloud data platforms such as AWS, Databricks, or Snowflake
- Clear written and verbal communication skills, with the ability to summarize findings for an immediate team
- Experience working in Agile/Scrum environments and collaborating with engineering and product partners
Preferred Qualifications- Experience with Adobe Analytics or comparable web/product analytics platforms
- Exposure to large-scale content or media platforms
- Familiarity with data visualization tools (e.g., Tableau, Looker)
- Basic familiarity with machine learning concepts sufficient to support ML Engineers on feature analysis and evaluation
The hiring range for this position in LA is $141,900 - $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Job Posting Segment:
Product Engineering
Job Posting Primary Business:
PE - Streaming Backend
Primary Job Posting Category:
Data Science
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Glendale, CA, USA
Alternate City, State, Region, Postal Code:
USA - NY - 7 Hudson Square
Date Posted:
2026-09-03
