Thinking of accepting a data science or analytics role? From startups to Big Tech, there are critical questions you must ask before signing that offer letter. In this video, I share 15 hard-earned lessons from my own experiences as a data scientist—covering everything from...
Thinking of accepting a data science or analytics role? From startups to Big Tech, there are critical questions you must ask before signing that offer letter. In this video, I share 15 hard-earned lessons from my own experiences as a data scientist—covering everything from evaluating company culture, spotting red flags, understanding data infrastructure, assessing layoff risk, and navigating career growth.
Whether you're a data analyst, data scientist, ML engineer, junior or senior, these insights will help you make smarter decisions and avoid common pitfalls in your tech career.
Do they have data—and what kind?
How is the data structured—and who’s responsible for it?
What tools and tech do they use, and are you set up to work with them?
Does the role’s title actually match what you want (and know how) to do?
Who’s on your team—and where do you fit in?
What does your hiring manager think the ideal candidate looks like?
What does career growth look like in this role?
Who’s your manager, and can you actually work with them?
Who owns your backlog, and how is work prioritized?
Who are your stakeholders, and what’s it like working with them?
What’s the real company culture—and do their values actually show up in practice?
What’s your total compensation, and do the benefits actually matter to you?
Will you actually get the tools and equipment you need to do your job?
What’s the company’s financial health—and are layoffs a real risk?
What does your gut say?
