Data Scientist at Disney

Job Summary:
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 psychographicsIntegrating a broad suite of complex datasets, from digital event logs to sporting event metadata, into carefully curated and reusable data modelsPublishing audience attributes across an array of ad-serving endpointsWorking cross-functionally to ensure our data product is aligned with the goals of each strategic sales vertical and the business as a whole
We are looking for Data Scientists with strong SQL skills, knowledge of implementing ETL/orchestration processes and excellent data engineering background to join the Walt Disney Company’s DMED segment on the Ad Sales team. This role reports into the Data Science Strategy organization that manages key revenue-driving products for the Audience Modeling and Data Science team. The ideal candidate is a Data Science Engineer, Data Scientist, Data Engineer or Software Engineer that is looking to grow into a high-visibility, client-facing role.
Responsibilities :
Create automated data feeds using various SQL orchestration platforms to support data science products.Participate and engage in product-development meetings and translate business requirements to technical action items for data feeds and reporting.Analyze the UX of data science products and provide feedback to management/product teams to implement.Leverage cloud SQL software and open-source tools to wrangle huge amounts of data across dozens of sources into a unified data model.Interact with business stakeholders (both internal and external) to understand macro-level organization strategy and help drive forward data science initiatives.Assist in development and orchestration of processes that egress data to storage repositories and API endpoints.Collaborate on rapid prototype MVP (minimum-viable product) solutions for emerging opportunities.Translate business language and requirements into technical action items.
Basic Qualifications :
2-3+ years of experience in data engineering, data science or software engineering.Strong experience in Google Cloud, AWS, or other cloud platforms a must.Experience in end-to-end data quality assurance analysis, with ability to identify and address the ‘why’ in complex pipeline processes.A desire to work directly with business stakeholders and understand strategic decision making in a communication-heavy data science role.Proven ability in developing production-ready data pipelines utilizing orchestration applications.Strong experience using SQL to transform and summarize data (Spark, Beam, Hadoop, and other big data processing software a plus).Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious).Great organization, communication, and teamwork skills.Self-motivated with the ability to work and learn independently.
Required Education :
B.A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)