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"Data science resumes have become elaborate performances, loaded with library names and tool stacks that candidates have barely touched. Hiring managers across the industry are pushing back—and the consequences for inflated credentials are more serious than most candidates realize. Here is what authentic skill representation actually looks like, and why it matters more than ever."

"Thousands of business intelligence analysts are sitting on a career trajectory they have not yet recognized. The deliberate migration from BI to analytics engineering to machine learning is producing compensation jumps of 30 to 40 percent—and the professionals who have made this move are sharing exactly how they did it. This is the career ladder most data professionals are not climbing."

"A growing number of data science and big data roles that are advertised as permanent positions are, in structural terms, closer to fixed-term projects. The warning signs are visible before you accept an offer—if you know where to look. This analysis examines the patterns behind premature data role eliminations and offers concrete strategies for protecting your career trajectory in an uncertain market."

"Hiring teams across the country are sitting on open data science requisitions for months—not because the applicant pool is thin, but because the right skills are increasingly rare. From MLOps fluency to LLM engineering, the competencies employers prize most are evolving faster than most candidates realize. Here is what the gap looks like from the inside, and what you should be learning right now."

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