On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
Job Summary
Data Engineers at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Data Engineers in Machine Learning on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross‑functional business partners.
Responsibilities
- Modeling: Design, build and improve machine learning models. Work end‑to‑end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communication of model results. Collaborate with engineering to productionize models, and drive experimentation to test impact of model‑based optimization.
- Deep analysis: Develop comprehensive understanding of audience, brand and asset data structures. Mine large data sets to identify opportunities for driving engagement and performance.
- Visualization of complex data sets: Develop prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.
- Partnership: Partner closely with stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
Basic Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
- Minimum of 10 years of experience designing, building, deploying data pipelines and applications.
- Experience building machine learning solutions.
- Excellent analytical skills, advanced level of statistics knowledge.
- Strong expertise with Python and libraries such as scikit‑learn, SciPy.
- Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, GitHub.
- Familiarity with designing and analyzing A/B testing and other experiment types.
- Ability to adapt quickly in a fast‑moving environment with shifting priorities.
- Strong communication skills, for both technical and non‑technical audiences.
- Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones.
- Demonstrated leadership experience, including people and project management.
Preferred Qualifications
- Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
- 5 years of building machine learning solutions.
DISNEYTECH
The hiring range for this position in Santa Monica & Glendale, CA and Bristol, CT is $164,492 to $220,660 per year, in Seattle, WA and New York, NY is $172,282 to $231,110 per year, and in San Francisco, CA is $180,154 to $241,760 per year. 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.
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