Remove Data Engineering Remove Data Scientist Remove Machine Learning
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Why You Need RAG to Stay Relevant as a Data Scientist

KDnuggets

By Nate Rosidi , KDnuggets Market Trends & SQL Content Specialist on June 11, 2025 in Language Models Image by Author | Canva If you work in a data-related field, you should update yourself regularly. Data scientists use different tools for tasks like data visualization, data modeling, and even warehouse systems.

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Selling Your Side Project? 10 Marketplaces Data Scientists Need to Know

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Selling Your Side Project?

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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

Avi has been working in the field of data science and machine learning for over 6 years, both across academia and industry.

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Data Engineer vs Data Scientist: Which Career to Choose?

Analytics Vidhya

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer!

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The Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money

Analytics Vidhya

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

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Data engineer

Dataconomy

Data engineers are the unsung heroes of the data-driven world, laying the essential groundwork that allows organizations to leverage their data for enhanced decision-making and strategic insights. What is a data engineer?

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Salary Breakdown of the Top Data Science Jobs

KDnuggets

Machine Learning vs NLP vs Data Engineer vs Data Scientist, and what it means to be in each role.