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
Jobs (this month)

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Jobs in using Agile/Scrum for but please no

data scientist

Technology Architect - AI Application Architect @ infosys

JP | 2025-12-28
Infosys’ senior data architecture role promises client-facing influence across requirements, architecture artifacts, and governance in a genuine global-delivery setup, but it’s heavy on process... read more »
AI/ML, Agile/Scrum, Data Management, Data Analytics, Management, LLM, Data Governance, Data Science
data scientist

Solution Architect @ kinaxis

JP | 2025-12-28
This role is a senior consulting position at Kinaxis, a global leader in supply chain management. The job requires extensive experience in business software consulting, particularly in... read more »
Management, Agile/Scrum, SQL, R, Java, Python, SAP, C, ERP, RDBMS, AI/ML
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

Learn More
data scientist

Senior Consultant - AI/ML Data Scientists @ infosys

JP | 2025-12-26
Infosys pitches itself as AI-powered, agile, with an always-on learning culture, but the role reads like standard enterprise ML work: interface with stakeholders, translate requirements into data... read more »
AI/ML, Agile/Scrum, Data Science, Python, R
data scientist

Software Engineer, QA - Merpay @ mercari-inc-

JP | 2025-12-24
A QA engineer role at Merpay involves developing AI-enhanced testing strategies and coordinating across multiple teams to ensure high-quality software in a fast-paced environment. The unique... read more »
GitHub, Playwright, BigQuery, Looker, Datadog, Jira, Confluence, LLM, AI/ML, Agile/Scrum, Analytics, API, Computer Science, DataViz