GitHub

version control, collaboration, code hosting
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Back in the dark ages before everything lived in the cloud, sharing code was…an experience. Then came GitHub, promising to be the collaborative haven developers desperately needed. It took the core concept of version control—bless you, Linus Torvalds—and wrapped it in a social layer, effectively turning code into a public, searchable, and forkable playground. Quite clever, really, though one does wonder if all those public repositories are just a breeding ground for technical debt.

Today, GitHub is practically synonymous with open source, and Microsoft’s ownership feels… inevitable. It’s the default for many, eclipsing alternatives like GitLab and Bitbucket with sheer network effects. While it’s become a sprawling platform with project management tools and CI/CD pipelines, let’s be honest—most of us are still just using it to file issues and argue about whitespace. Still, it works, and in the world of software development, that’s often a victory in itself.

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data scientist

Lead, AI Engineer & Scientist, Takeda Japan Innovation Center (TJIC), Global DD&T(Data, Digital & Technology) @ takeda-pharmaceuticals

JP | 2025-12-28
Takeda's position for an AI Engineer at its Japan Innovation Center sounds enticing until you dig deeper. The role demands a rare trifecta of proficiency in Japanese, AI/ML experience, and a dose... read more »
AI/ML, Big Data, LLM, GitHub, Computer Science, PhD, Data Science, AWS, Databricks, GenAI, Cloud Computing, GCP, Azure, Python, SQL, TypeScript, ETL/ELT, Jira
data scientist

Solution Architect (Data & AI) @ london-stock-exchange-group

JP | 2025-12-25
Bridge-builder role that straddles pre-sales and delivery, with GenAI at the core. In Tokyo, you translate business needs into prototypes and POCs that pair Generative AI with financial datasets... read more »
GenAI, LLM, Cloud Computing, Azure, AWS, GCP, Databricks, Snowflake, Fabric, AI/ML, API, Data Streaming, RAG, Python, SQL, Git, GitHub, CI/CD, Data Science, TensorFlow, PyTorch, Management, Data Engineering, Analytics, Go
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.

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data scientist

Cloud & AI Specialist (メガバンク担当Azure営業) @ microsoft

JP | 2025-12-24
Leads sales efforts for high-value customers within the financial services sector, leveraging AI-driven market intelligence and cloud technologies. Differentiator includes a focus on integrating... read more »
Azure, AI/ML, Analytics, Cloud Computing, Microsoft, Management, GitHub, Computer Science, Cyber Security
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
data scientist

AI/Data Product Engineer - Mercari @ mercari-inc-

JP | 2025-12-24
This role is a high-stakes, technically demanding position requiring expertise in AI/LLM, data engineering, and semantic data infrastructure. The candidate will lead the evolution of a... read more »
AI/ML, Data Analytics, Analytics, Data Modelling, Marketing, Data Engineering, DWH, BigQuery, SQL, Data Governance, BI, GitHub