Manager, Data Science
New York, NY, USA | Disney
Industry:Media / Entertainment
Functions:IT / Information Technology
Job Description:82 people have viewed this job
Supporting the Disney Advertising Sales organization within our new Direct-To-Consumer & International (DTCI) segment, the Data Science & Analytics team are subject matter experts in each of the following areas:
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.
Analyzing the performance of models in real-world campaigns and collaborating with the audience modeling team to optimize and refine the models.
We’re looking for an intellectually curious, business-savvy, analytical powerhouse to join the Data Science & Analytics team as a Manager, Data Science. In this role, you will be responsible for channeling data across the various Disney business units and data infrastructures, and building models to better understand our users at the individual level. 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.
Work closely with business partners to understand use cases and envision execution plan.
Lead multiple projects with minimal oversight.
Communicate project status to key stakeholders on an ongoing basis.
Help create long term vision for business enhancement.
7+ years of experience driving measurable results (monetization, engagement) with digital products across various business models.
Experience with multiple cloud data warehouses and knowledge of how to transfer data between them.
2+ years of experience working in an agile environment helping lead development of requirements, management of workflows and priorities, and generation of feedback to a data team.
Experience with complex, large-scale relational databases, statistical programs, and other tools (SQL, SAS, R, etc.) with an aptitude to learn other technical applications quickly to compile and interpret quantitative data.
Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious).
Experience with consumer behavior and insights analysis (transactional and usage.)
Experience or familiarity in cross device/ID graph solution is a plus.
Great communication and teamwork skills.
Proven ability to collaborate, build consensus and navigate complex environments.
Knowledge of Salesforce DMP, Adobe Audience Manager, Oracle BlueKai or other DMPs a plus.
Knowledge or background in data engineering is a plus.
Self-motivated with the ability to work independently as well as lead a growing team.
Bachelor's degree in a related field or equivalent work experience
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