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Financials
Overview
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Tech stack
Technologies named in job postings at Kohl’s over the last 12 months, by layer, with the share of postings for each.
Technologies in use
52
Postings analysed
5
Stack modernity
87/100AI adopter
Languages
Python
SQL
Java
Node JS
Frameworks & libraries
AutoGen
CrewAI
LangChain
OpenTelemetry
Databases
BigQuery
Google BigQuery
Cloud & platforms
GCP
Spark
AWS
Azure
AI & ML
LLM
AWQ
GPTQ
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Full Kohl’s tech stack
52 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
35/100
Slowing
Open positions
3
0 opened / 0 closed in 30 days
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
40% ▲
Data Science
40% ▲
Industrial Engineering
20% ▲
Jobs
≈ $90k – $202k per year (Estimated) • Remote (United States) • Full-Time
Python
SQL
Spark
Recommender Systems
Machine Learning
DevOps
GCP
Apply
≈ $107k – $236k per year (Estimated) • Remote (United States) • Full-Time
Python
Java
SQL
Google BigQuery
BigQuery
AI/ML
Spark
Vertex AI
Scikit-learn
AI Agents
Kubeflow
TensorFlow
PyTorch
LLM
Machine Learning
DevOps
GCP
CI/CD
Git
Docker
Kubernetes
Analytics
ETL/ELT
Management
Agile
Apply
≈ $154k – $309k per year (Estimated) • Remote (United States) • Full-Time
AutoGen
LangChain
Model Context Protocol
Quantization
AWQ
GPTQ
CrewAI
RAG
Human-in-the-Loop
Agentic Workflows
Multi-Agent Systems
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Web3
Compound
Apply
