Data science or product management? 5YoE guy here, please help me out

I'm currently working as a data analyst at a startup and am seeking guidance on whether transitioning into core data science is a wise move at this stage in my career. Here’s a brief overview of my background:

Data Analytics: I have 4 years of experience in data analytics, which also involved some product management tasks. My work primarily included building dashboards, conducting root cause analyses (RCAs), and providing insights to product/business managers. I’ve attempted a project in predictive analytics, but it was challenging due to limited guidance.

Product Management: In this role, I conducted user interviews, collaborated with design and tech teams, and handled analytics. However, I often felt out of my depth during discussions with design/tech teams and struggled with imposter syndrome. I felt like my role was somewhat redundant and not adding significant value.

In my current analytics role, I feel stagnant, performing repetitive tasks with little skill development. I’m concerned that I might become unemployable if I continue in this role.

I am contemplating a shift to data science. I enjoy working with data, have a strong affinity for math, and have received positive feedback on my analytical skills. However, I’m not deeply inclined towards core tech. I am considering data science because it aligns with some of my interests, offers good pay, and there’s a market demand for skilled professionals. On the other hand, I still enjoy aspects of product management, such as user interviews, design work, and communication.

Given my background and current dissatisfaction, I’m unsure whether to pursue data science or revisit product management. I would greatly appreciate any advice on how to proceed.