Full job description Data Scientist Apply Later Job ID 10118833 Location California, United States / Remote, United States Business Disney Entertainment Date posted Apr. 15, 2025 Job Summary: Supporting Disney Advertising Sales, the Data Science team are subject matter experts in each of the following areas: Integrating a broad suite of complex datasets, from digital event logs to sporting event metadata, into carefully curated and reusable data models Creating and optimizing audience classification models that enable us to predict and target strategic audience attributes, including brand affinity, purchase behavior, and psychographics 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 Disney Ad Sales as a data scientist on the Data & Measurement Sciences team. In this role, you will be responsible for driving improvements across our 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. What You'll Do Develop new predictive models from prototype to production Combine knowledge of proven statistical methods and business context to critique model performance and optimize to specific success metrics Leverage cloud SQL software and open source tools to wrangle huge amounts of data across dozens of sources into a unified data model 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 Key Qualifications 3+ years’ experience in data science (preferably in the advertising sales space), data engineering, or statistically-driven technical field Proven ability in predictive analytics, statistical modeling, and model evaluation techniques Strong SQL skills, preference to processing large datasets in BigQuery and Snowflake . Good Python skills, including a demonstrated ability to read and understand code. 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 a hands-on/execution capacity (detail-oriented, conscientious) Great organization, communication and teamwork skills Self-motivated with the ability to work and learn independently Nice To Haves Experience in data process orchestration tools (e.g. Airflow). Other cloud computing experience (e.g. GCP, AWS) Spark, Beam, Hadoop, and other big data processing software Basic Education BA/BS in Data Science, Computer Science, MIS, Statistics, Economics, Mathematics, or related analytical field Additional Information Just like the best ensemble casts of our favorite shows, Disney Advertising Sales embraces diversity and is an inclusive environment. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We are proud to be an Equal Opportunity Employer. #DisneyAdvertising The hiring range for this remote position is $109,400 - $168,700 per year , which factors in various geographic regions. 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.