Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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:

• 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.
• Research and evaluate software in the marketplace to improve reliability and stability of our core data product.
• 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 science (preferably in the advertising sales space) or data engineering.
• Strong experience in Google Cloud, AWS, or other cloud platforms a must.
• 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

• A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)