Omnichannel retailer operating distribution, fulfillment, and loyalty at scale
Target operates a large omnichannel retail infrastructure built on a modern analytics and ML stack—Python, Spark, BigQuery, TensorFlow, and Airflow—combined with legacy enterprise systems (SAP, Hadoop). The hiring velocity is accelerating, with 984 roles posted in the last 30 days across ops (1009 total), sales (500), and security (77), skewing heavily junior. Active projects focus on fulfillment optimization (pick-pack-ship, distribution center productivity) and emerging capabilities around responsible AI and privacy—suggesting a data-forward approach to competitive moats in inventory, fraud prevention, and guest experience.
Notable leadership hires: Art Director, Store Director, Director Analytics, Creative Director, Team Lead
Target is a publicly traded U.S. retailer headquartered in Minneapolis, founded in 1962, operating 10,001+ employees across stores, distribution centers, and corporate functions. The company serves families through a mix of owned and partner channels (including in-store pickup and drive-up services). Operations span inventory management, multi-facility fulfillment, point-of-sale systems, loyalty programs, and compliance across U.S., Canadian, Indian, Chinese, and Guatemalan locations. Current operational priorities center on inventory accuracy, fulfillment velocity, food safety (including Starbucks co-branded offerings), and guest experience optimization across touchpoints.
Python, Pandas, NumPy, SQL, Spark, Kafka, BigQuery, TensorFlow, PyTorch, scikit-learn, MLflow, and Airflow on GCP. Also uses Tableau, Power BI, and Vertex AI for reporting and model deployment.
Headquartered in Minneapolis, MN. Actively hiring in the United States, Canada, India, China, and Guatemala.
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