Supporting the Disney Advertising Sales organization within our Disney Media & Entertainment Distribution (DMED) segment, the Audience Modeling and Data Science team are subject matter experts in each of the following areas:

• Creating and optimizing audience classification models that enable us to predict and target strategic audience attributes, including brand affinity, purchase behavior, and psychographics
• Integrating a broad suite of complex datasets, from digital event logs to sporting event metadata, into carefully curated and reusable data models
• Publishing audience attributes across an array of ad-serving endpoints
• Working cross-functionally to ensure our data product is aligned with the goals of each strategic sales vertical and the business as a whole

We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join The Walt Disney Company’s DMED segment as a data scientist on the ad sales team. In this role, you will be responsible for driving improvements across DMED’s portfolio of offerings by using data. Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line.

Responsibilities :

• Drive requirements, evaluation, and implementation of large-scale machine learning platforms to support our core modeling product.
• Own the long-term performance and evaluation of hundreds of predictive models in production across strategic industry verticals.
• Implement standards and best practices in modeling, optimization, and model criticism using proven statistical methods and business context
• Lead development and orchestration of complex data processes, from ingest to egress
• Work cross-functionally to develop and implement a standardized data model that serves multiple stakeholders
• Mentorship, including training and code review, of other data scientists on the team

Basic Qualifications :

• 4-5 years practical experience in data science, preferably in the advertising sales space
• MS in quantitative field preferred, or equivalent experience
• Experience using leading technologies to manage the lifecycle and performance of hundreds of models in production
• Proven ability in predictive analytics, statistical modeling, and model evaluation techniques
• Demonstrable expertise of advanced SQL patterns (Spark, Beam, Hadoop, and other big data processing software a plus)
• Experience designing database tables and data models
• Experience in Google Cloud, AWS, or other cloud platforms.
• Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks \"why\") and brings a new perspective to complex processes.
• Proven ability to lead projects within a larger data strategy and delegate individual tasks within the project while tracking the overall scope and timelines
• Great organization, communication and mentorship skills working within an agile data environment