Agile/Scrum

project management, software development, methodology
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Agile/Scrum: the tech world’s favorite buzzword cocktail. Born out of the Agile Manifesto in 2001, Scrum became the go-to framework for teams tired of bloated waterfall
methods. In theory, it's all about adaptability, collaboration, and delivering incremental value. In reality? Mostly just stand-up meetings that no one really stands for
anymore. Competing with Kanban and other agile frameworks, Scrum’s claim to fame is its structured approach: sprints, backlogs, and the coveted daily scrum. Great for keeping
teams "aligned," or at least pretending to be. But let’s face it—Scrum can turn into a bureaucratic mess if not done right (looking at you, cargo cult Scrum Masters).

Still, in its current state, it’s used everywhere from startups to massive enterprises trying to be 'nimble'—despite drowning in Jira tickets. Key differentiator? Scrum loves
process, but not too much process. Just enough to keep you sprinting in circles.

Used together with Agile/Scrum

Additional Resources

Agile Manifesto Agile Data Modelling Agile Data Warehouse Design Scrum: An Honest Ad
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Jobs in using Agile/Scrum for but please no

data scientist

Data Scientist (Machine Learning) @ kyndryl

ES | 2025-12-28
A data scientist role at Kyndryl's AI Agentic Innovation Hub involves designing and validating machine learning models across the entire lifecycle, with the notable differentiator being its focus... read more »
Go, AI/ML, Data Science, Data Collection, MLOps, Cloud Computing, Analytics, Python, Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Azure, Amazon SageMaker, Databricks, PhD, NLP, DataViz, BI, Agile/Scrum, Microsoft
data scientist

Manager - Data & AI @ ernstandyoung

ES | 2025-12-26
EY’s Data & AI Manager role asks you to lead end-to-end data transformations for top clients, shape cloud architectures on Azure and Databricks, and turn strategy into measurable value through... read more »
AI/ML, Cloud Computing, Azure, Databricks, Data Science, Power BI, Agile/Scrum, Synapse, Fabric, Kafka, MLOps, Microsoft
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

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data scientist

Full Stack Developer @ thetaray

ES | 2025-12-25
ThetaRay seeks a mid-senior Full Stack Developer skilled in Angular, Java, and microservices, with a notable emphasis on integrating AI tools like Copilot and Claude to boost productivity. The... read more »
AI/ML, Big Data, Analytics, Cloud Computing, React, SaaS, API, Java, Agile/Scrum, Management, SQL, NoSQL, Kafka, Linux, CI/CD, Git, Jenkins, Docker, Computer Science, DevOps