Learn to deploy models to production. More on reddit.com

For entry level DS reading this thread: relax, you don't need to learn all of this to get a job. More on reddit.com

How are your leadership and communication skills? IMO the most needed skills in data science right now are: The ability to clearly communicate the impact of data projects to business leaders so they can see the value. The ability to take business requirements and clearly communicate them to the data team so they can develop something that supports the business. The ability to explain a dashboard and how to people who don't know (or care) where the data comes from, they just want to know what it's telling them. Those skills pay in that few people have them and they're critical for leadership roles. They're also like a cheat code for interviews - if you can articulate the project from start to finish, including the business impact, you're going to put yourself ahead of 95% of the other candidates competing for a role. They're not a golden ticket, but they'll get you in the conversation. You can go hard on the technical side, but most of the data roles don't require crazy technical skills, they need the RIGHT technical skills and a lot of context. Look for a variety of titles. We understand the difference between data scientist, data analyst, data engineer and ML engineer, but a HUGE number of recruiters and hiring managers don't have a clue. More on reddit.com

Oh, PhD in Physics here from a good US university. 10 years of experience, with python, c++, statistics, a bunch of papers, all about analyzing data. No jobs. A PhD won't get you automatically a job in DS. More on reddit.com