I break down my decision process while searching for, finding and applying to a new job, to help you at your job search. I also will talk about how I managed to land a position where I think I’ll be very happy. This story has lessons in it for anyone who wants to get the type of job they want.

It’s important to know what type of position you want to work at, in order to get the most satisfaction out of your job. I understand this is not very easy to do when you have little to no experience in a field. Inspired by everything I’ve heard from my guests on the podcasts, I prepared a list of possible positions you can consider when planning your future.

Selene is a PhD student working on interaction between humans and robots. We discuss her journey towards starting a PhD, how she acquired her knowledge, what she did before starting her PhD and the details of her research.

Starting to work with data at your current job is one of the best things you can do for yourself, especially if you want to leave your company and start as a data scientist somewhere else. Let me tell you why I think doing projects at your current company matters and how you can make it happen.

When changing careers into data science, if you have years of work experience, it's only fair to expect a higher position than junior data scientist. In order to achieve it, you need to approach your job hunt differently than newly grads. Here are some tips for signalling to your future employer that you will bring value.

Sakshi Mishra from the National Renewable Energy Laboratory joins me to talk about her journey and her work. We discuss her contributions to renewable energy research, how the lab operates, how she got this dreamy position and many other things. Don't miss it!

Being a senior data scientists is treated as a holy grail though many do not know what it really means to hold a senior position. Let's look into what responsibilities come with the title. This article might give you something to think about when it comes to what type of senior data scientist you want to be.

You've probably heard that in data science knowing your data is important. But why and what does it mean to know your data anyways? I answer these questions in this article.

Shivali is a globalisation engineer at Adobe. She uses NLP as her main tool working on making Adobe software applicable to different cultures and languages. Her work is a great example of a non-data scientist position where data science skills and ML techniques are used as the main tool.