Senior Data Scientist

Job Posting Title:

Senior Data Scientist

Req ID:

Job Description:

Technology is at the heart of Disneys past present and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers product developers designers technologists data scientists and more all working to build and advance the technological backbone for Disneys media business globally.

The team marries technology with creativity to build world-class products enhance storytelling and drive velocity innovation and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Companys media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think youd love working here:

• Building the future of Disneys media: Our Technologists are designing and building the products and platforms that will power our media advertising and distribution businesses for years to come.
• Reach Scale & Impact: More than ever Disneys technology and products serve as asignature doorway for fans connections with the companys brands and stories.Disney. Hulu. ESPN. ABC. ABC Newsand many more. These products and brands and the unmatched stories storytellers and events they carry matter to millions ofpeople globally.
• Innovation: We develop and implement groundbreaking products and techniquesthat shape industry norms and solve complex and distinctive technical problems.

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 Disneys 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 worlds 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 Disneys 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

• Bachelors 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 $141900 - $190300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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:

Date Posted: