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Ask HN: Who is hiring? (July 2025)

Hacker News

My last startup, Bayes, went through YC in 2019. Other members of the team include ex-Airtable engineers and an exited healthcare platform founder. We’re hiring our first Data Engineer to play a pivotal role in designing and developing our next-generation data and analytics infrastructure from the ground up.

Python 76
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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

The creation of this data model requires the data connection to the source system (e.g. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. This method is particularly effective in capturing the complexities and many-to-many relationships inherent in modern business processes.

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Top NLP Skills, Frameworks, Platforms, and Languages for 2023

ODSC - Open Data Science

Computer science, math, statistics, programming, and software development are all skills required in NLP projects. Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops.

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The Future of Data Science Jobs: Will 2030 Mark Their End?

DataSeries

The future might see a greater demand for professionals who combine data science skills with deep domain expertise (e.g., healthcare, finance), rather than generalist data scientists. The Final Verdict The notion that jobs for data scientists will disappear by 2030 is somewhat misleading. Statistical Projections The U.S.

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Components and Key Principles of the COBIT Framework

Pickl AI

The latest version, COBIT 2019, integrates new technologies and practices to meet current business needs. More for you to see: Big Data Engineers: An In-depth Analysis. You should learn: Applications of Cloud Computing: Real-World Examples. Ensuring consistent communication and involvement is vital for success.

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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. Table of Contents Why Discuss Snowflake & Power BI?