Top Fashion Data & Analytics Jobs in Los Angeles, CA

Support Workforce Management by delivering reports, analyzing data, updating databases, and communicating results effectively to leadership.

The Senior Data Scientist leads analytics and growth strategies, manages large data sets, develops statistical models, and communicates insights to drive business growth.

The Data Engineer will develop and maintain data systems and pipelines, ensuring accurate integration of manufacturing data to enhance productivity and reporting.

Analyze large datasets to identify trends, collaborate with teams for data quality, create visualizations, and develop predictive models to enhance e-commerce operations.

As a Senior Data Engineer, you will lead data pipeline development, implement ETL processes, ensure data quality, and mentor junior engineers, all while working closely with stakeholders to meet business needs.

The Sr. Data Engineer leads the development and delivery of complex data solutions, focusing on data management lifecycle, collaboration across teams, and ensuring data architecture meets business needs. Responsibilities include creating scalable data pipelines, performing analysis, and automating processes to support business data analytics.

The Staff Applied Scientist will lead the design and deployment of machine learning models, analyze data, and mentor team members.