Who earns more Product Manager or data scientist?

The earning potential of product managers and data scientists can vary depending on factors such as location, industry, level of experience, and specific skills. Generally, both product managers and data scientists are highly sought-after professionals in the tech industry, and they can command competitive salaries.

However, the salary comparison between the two roles is not straightforward due to the differences in responsibilities and skill sets.

Earning Potential:

1. Product Manager: Product Managers often earn a good salary, particularly in the tech industry where they are responsible for driving the development and success of a product. According to data from sources like Glassdoor and PayScale, the average salary for a Product Manager in the United States ranges from $80,000 to $150,000 per year, but it can go higher in certain locations or at larger companies.
2. Data Scientist: Data Scientists also typically earn high salaries due to their expertise in analyzing and interpreting complex data. In the United States, the average salary for a Data Scientist ranges from $90,000 to $150,000 per year, with senior-level positions and those in high-demand industries often commanding salaries on the higher end of that range.

While both product managers and data scientists can earn competitive salaries, the specific earning potential depends on various factors unique to each role and individual circumstances. Ultimately, individuals should consider their interests, skills, and career goals when deciding between these two rewarding career paths. Additionally, it’s worth noting that both roles offer opportunities for career growth and advancement, along with the potential for increased earning potential over time.