United States Job Openings

Disney
Data Science Engineer
October 24, 2024
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Job Summary:
- Creating and optimizing audience segmentation models that enable us to target specific audiences based on brand affinities, app behavior, and video viewership among other things
- Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties
Job Summary:
Supporting Disney Advertising Sales, the Data Science Engineering 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
Responsibilities and Duties of the Role:
- Develop data processing pipelines, stitching together streaming, advertising, and other feeds at the terabyte scale
- Collaborate on the transformation of existing ML code into portable and automated services
- Expand your skills in data governance and Dev Ops best practices by supporting ongoing team efforts to integrate data catalogues, data lineage, and CI/CD solutions into day-to-day operations.
Minimum
- Minimum of 3 years of related work experience. Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
- Strong SQL skills, preference to processing large datasets in Big Query and Snowflake .
- Good Python skills, including a demonstrated ability to read and understand code.
- Experience collaborating to team projects in Git and Git Hub.
- Detail-oriented with a passion for organization and elegance.
- Experience in data process orchestration tools (e.g. Airflow).
- Experience in infrastructure-as-code (e.g. Terraform).
- Containerized development patterns (e.g. Docker, Kubernetes).
- Other cloud computing experience (e.g. GCP, AWS).
The hiring range for this remote position is $99,600 to $153,500 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.
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