
Data Scientist
Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model-based optimization. Develop comprehensive understanding of guest engagement data and metrics. Mine large data sets to identify opportunities for improving content recommendations. Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually. Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
5+ years of relevant industry experience designing, building, and evaluating practical machine learning solutions
5+ years of experience with statistical programming language
Comfortable working in a team environment using Agile methodologies
Experience with developing for public clouds like Google Cloud Platform (GCP) or Amazon Web Services (AWS)
Sql
Python
Tableau
REST
Docker
Spark
Looker
GraphQL
ETL pipelines
PySpark
Time Management Skills
Designing and analyzing A/B testing
Driven and self-motivated
Prioritizing skills
Multitasking Skills
Adaptability
Problem-solving and resourcefulness
Detail Oriented and Organized
Verbal and Written Communication
According to JobzMall, the average salary range for a Data Scientist in 1200 Grand Central Ave, Glendale, CA 91201, USA is $89,230 - $139,321.
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The Walt Disney Co. is a diversified international family entertainment and media enterprise. It operates through four business segments: Media Networks, Parks & Resorts, Studio Entertainment and Consumer Products & Interactive Media. The Media Networks segment includes cable and broadcast television networks, television production and distribution operations, domestic television stations, radio networks and stations.

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