Target
Retail · Retail
- HQ
- Minneapolis, US
- Founded
- 1962
- Size
- 400,000+
- Website
- target.com
Currently tracking 25 active AI roles, down 87% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$356k (avg $183k).
Retail · Retail
Target currently has 28 active job listings related to artificial intelligence. The majority of these roles, 61%, are focused on agents, with data roles making up another 14%. Engineering is the primary function hiring for these positions, with the United States and India each accounting for 14 roles. Frequent technology tags include model serving, agent orchestration, and RAG, suggesting a focus on deploying and managing AI models. Over the last 30 days, Target has posted 20 new AI roles, representing an 82% increase compared to the previous 30-day period.
Target currently has 38 active AI-related roles in our index. The most common open titles are: Lead Operations Research Scientist (3), Sr Engineer - Target India (3), Director Product Management - Physical Intelligence, Director of Engineering - AI Security, Lead Data Scientist- AML. Most positions are in Engineering and Product.
Target's active AI hiring is concentrated in: agents (71%), serving infrastructure (11%), data (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Target is hiring AI talent in: United States (19 roles), India (19 roles).
Job postings at Target most frequently reference: agent orchestration, model serving, llm observability, rag, inference infra.
In the past 30 days, Target has posted 24 new AI-related roles. That is a +50% change versus the prior 30 days (16 → 24).
| Title | Stage | AI score |
|---|---|---|
| Sr Data Scientist - Global Supply Chain and Logistics Sr Data Scientist role focused on Global Supply Chain and Logistics, leveraging operations research, simulation, and machine learning to develop and deploy optimization and ML algorithms at scale. Requires strong computer science fundamentals, experience with production deployments, and proficiency in mathematical modeling and programming languages. | Data | 7 |
| Sr Operations Research Analyst This role focuses on applying operations research, machine learning, and AI techniques to solve complex supply chain problems, involving data analysis, model development, and insight generation for a large retail company. | Data | 7 |
| Sr Data Analyst - Digital Ecommerce (Math/Stats, A/B testing, ML) This role focuses on leveraging data, statistics, and visualization to generate actionable insights for digital e-commerce performance. It involves data extraction, transformation, and building reports/dashboards using various tools, with an emphasis on A/B testing and leveraging advanced analytics and AI-driven approaches for decision-making. The primary focus is on data analysis and insight generation, touching on ML/AI tools but not core model building. |
| Data |
| 5 |
| Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation) This role focuses on applying operations research, machine learning, and simulation techniques to optimize Target's global supply chain. The scientist will analyze large datasets, develop complex algorithms, and build models for areas like purchasing, transportation, inventory, and last-mile delivery. The role requires strong programming skills in Python/R, SQL, and experience with data pipeline building in the Hadoop ecosystem (PySpark). | Data | 5 |