Have you ever felt like you’re not living up to your full potential as a data scientist? You’ve got the skills, the knowledge, and the drive, but somehow, you’re stuck in a role that’s not utilizing your talents.
I recently came across a Reddit post from a data scientist who’s been working in the pharma industry for five years. Despite having an MSDS and receiving stellar yearly reviews, they’ve never been promoted. The reason? They’re not getting the opportunities to work on projects that showcase their data science skills.
The problem is, their work experience doesn’t translate well to other industries. They’ve built dashboards and R Shiny apps that have had business impact, but when it comes to AI, ML, and AB testing, they’re lacking. And to make matters worse, their company doesn’t prioritize these areas, leaving them feeling stuck.
I can totally relate to this feeling. It’s frustrating when you know you have so much to offer, but you’re not given the chance to prove yourself. The Reddit poster is considering doing personal projects to build their portfolio, but they’re not sure if it’s worth the effort.
If you’re in a similar situation, know that you’re not alone. It’s time to take matters into your own hands and start building your own projects. It may not be easy, but it’s a great way to demonstrate your skills and showcase your work to potential employers.
And if you’re struggling with coding interviews, don’t worry. It’s a common challenge many data scientists face. The key is to practice, practice, practice. Start with online resources like LeetCode or Kaggle, and gradually move on to more complex projects.
Remember, getting stuck in a dead-end role is not the end of the world. It’s an opportunity to take a step back, reassess your goals, and start working towards them. You got this!
What’s your story? Have you ever felt stuck in a role? How did you overcome it? Share your experiences in the comments below!