Career Advice
There is a gap between what is taught at universities and what skills are actually useful in the industry. This page offers resources with the kind of information I wish I had had access to as a grad student. Some of it is geared specifically at PhD scientists, but if you’re an undergraduate or master’s student, you will also find useful information.
I also host a podcast on which I demystify technology careers and discuss everything from interview strategies to networking and finding a job that’s a good fit for you. Expect to learn about:
- Exploring different tech roles: day-to-day work in roles such as data science and product management, insider tips on qualifications, and how to succeed.
- Career path stories: personal experiences and guest stories about unique paths in tech careers.
- Skills development: insights on essential skills for a technology career, including technical and soft skills.
- Emerging technologies: the impact of technologies like AI on career opportunities.
- Work-life balance in tech: flexibility and remote work opportunities in technology careers.
- Navigating tech interviews: Tips and strategies for succeeding in tech interviews.
- Building a network: effective networking strategies based on developing genuine relationships.
- Online branding for tech professionals: how to build an online presence.
Are you a student?
I teach undergraduate and graduate data science and big data econometrics at the University of Southern California, and I have coached many students on job search and interview tactics. Getting your first job is the hardest because you often have no experience and don’t know precisely how to go about the process. In today’s competitive job market, working hard and being smart about it is important. You should engage in activities that make you stand out as a candidate and provide credible signals about your potential as an employee.
Are you looking for guidance?
Are you considering a career change?
I have seen people with different backgrounds launch successful technology careers. For example, academic researchers are often technically qualified but may not have the right coding skills or understand how to format their resume to sell those skills to a tech recruiter or hiring manager. Once you work in tech, you can relatively easily transition between some roles as long as you learn a few extra skills; for example, economists can become technical product managers, and data analysts can become data scientists.
Are you thinking about a career change and would like some feedback?