Top Data & Analytics Jobs

Build and train AI platforms as part of the ML/Data Science team, collaborating with a diverse group to develop machine learning applications.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

The role involves reverse engineering and optimizing complex database environments, analyzing database schemas, designing data models for efficiency, and administering enterprise databases.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

Analyze customer data environments using SQL, drive feedback for product improvements, build internal tools, and collaborate with field teams.

Collect and transmit data from retail stores using a hand-held scanning device. Responsibilities include counting inventories and scanning UPC codes.

The SEO Innovation Specialist will manage SEO strategies, conduct audits, optimize content, and leverage AI tools for performance analysis.

The Senior Manager of Digital Experience Analytics oversees analytics for eCommerce, focusing on optimizing the customer journey and improving conversion rates through data-driven insights and cross-functional collaboration.

The Applied Research Mathematician will develop and apply mathematical methods to solve complex problems, involving advanced mathematics and algorithm development.

Drive end-to-end data sharing enablement across brands by managing use cases, aligning stakeholders, ensuring SLA adherence, communicating status/escalations, and improving cross-brand policies and processes alongside the Data Sharing Lead.