From 9bb86408c5199e4b8b2a4222366c321c097aa703 Mon Sep 17 00:00:00 2001
From: Ed Lan <165309301+Edlan01@users.noreply.github.com>
Date: Thu, 30 Jan 2025 22:39:56 +0100
Subject: [PATCH] Add link to ai data scientist guide (#8144)

---
 src/data/guides/ai-data-scientist-career-path.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/data/guides/ai-data-scientist-career-path.md b/src/data/guides/ai-data-scientist-career-path.md
index 514bedf36..350de73d0 100644
--- a/src/data/guides/ai-data-scientist-career-path.md
+++ b/src/data/guides/ai-data-scientist-career-path.md
@@ -47,7 +47,7 @@ This surge is partly due to the “explosion” of artificial intelligence, part
 
 One of the most appealing aspects of data science positions is the average data scientist’s salary. Reports from Glassdoor and Indeed highlight that data scientists are among the highest-paid professionals in the technology sector. For example, the national average salary for a data scientist in the United States is approximately $120,000 annually, with experienced professionals earning significantly more.
 
-These salaries are a reflection of the reality: the high demand for data science skills and the technical expertise required for these roles are not easy to come by. What’s even more, companies in high-cost regions, such as Silicon Valley, New York City, and Seattle, tend to offer premium salaries to attract top talent.
+These salaries are a reflection of the reality: the high demand for [data science skills](https://roadmap.sh/ai-data-scientist/skills) and the technical expertise required for these roles are not easy to come by. What’s even more, companies in high-cost regions, such as Silicon Valley, New York City, and Seattle, tend to offer premium salaries to attract top talent.
 
 The financial rewards in this field are usually complemented by additional benefits such as opportunities for professional development like research, publishing, patent registration, etc. 
 
@@ -195,4 +195,4 @@ For example, you can reflect on your interests and strengths. Ask yourself wheth
 
 You can also consume resources like the [AI/Data Scientist roadmap](https://roadmap.sh/ai-data-scientist) and the [Data Analyst roadmap](https://roadmap.sh/data-analyst), as they offer a clear progression for developing essential skills, so check them out. These tools can help you identify which areas to focus on based on your current expertise and interests.
 
-In the end, just remember: data science is rapidly evolving so make sure to stay engaged by reading research papers, following industry blogs, or attending conferences. Anything you can do will help, just figure out what works for you and keep doing it. 
\ No newline at end of file
+In the end, just remember: data science is rapidly evolving so make sure to stay engaged by reading research papers, following industry blogs, or attending conferences. Anything you can do will help, just figure out what works for you and keep doing it.