So you want to be a data scientist?
Episodes
Episodes of So you want to be a data scientist?
Mark All
Chanin Nantasenamat is behind the very successful YouTube channel Data Professor. He is an actual professor with a background in working in academia in the field of bioinformatics. Since the beginning of the pandemic he has started his brand Da
Amazon has many services and one of the biggest products they have is AWS. It stands for Amazon Web Services and is a cloud services platform. As part of their cloud services platform, Amazon also has skilled data scientists helping their clien
There are many ways to get a data science job and on this episode we hear a very interesting one! Khuyen Tran is a student and a data scientist who got her first job before even graduating. On top of other things, we learn how this was possibl
Communities all over the world are on the rise. People want to connect with others that they have shared values with. People in these communities help their fellow members with hard times, follow each other's journeys and are there for each oth
Yes, government agencies use AI too! When you think about it, with the gigantic amount of data they have, no wonder they need machine learning solutions to deal with their problems. And if you're passionate about working for the government or a
This week on the show I have Mikiko Bazeley. She is currently busy co-founding Sidewalk.ai, an AI based solution for residential real-estate. Her path to founding a company hasn't been very straightforward though. She has worked in many differ
Data Scientists are in demand and that's why becoming a data scientist is also in demand. Though many times what people have in mind when they think of becoming a data scientist is working at a company, with a boss.This doesn't have to be the
A consultant’s life is an exciting one. You get to experience many different industries, domains and technologies. It tends to be high-paced and at times stressful but if you like the kind of work you do, it is rewarding. Rossy is one such cons
A consultant’s life is an exciting one. You get to experience many different industries, domains and technologies. It tends to be high-paced and at times stressful but if you like the kind of work you do, it is rewarding. Rossy is one such cons
As a person who looked for jobs in the remote workspace before the pandemic, I can say, it is not easy. Fully remote companies tend to be, simply, super cool and have great culture. That’s why they get a lot of applications. This in turn makes
This week I welcome Jayeeta Putatunda on the show! Jayeeta is a senior data scientist specialising in Natural Language Processing and Machine Learning solutions at Indellient Inc. in New York. She is equipped with all the skills a data scientis
One of the biggest worries before changing to data science is inexperience. It's natural to think that what you're doing right now is not relevant and that it's too late for you to switch to data science. But what you work on now does not stop
Doing a PhD is a great way to dive very deeply into a topic you're passionate about. When it comes to AI there is no shortage of interesting topics. If you don't want to have the limitation of a company that needs to make profits and want to sa
Curious about how data science and machine learning contributes to renewable energy research? In this episode, Sakshi Mishra from the National Renewable Energy Laboratory (NREL) joins me to talk about her journey and her work. NREL is part of t
Sometimes it’s hard to imagine a vast variety of jobs where data science skills and machine learning are used. So, we end up defaulting to a data scientist position. Shivali Goel’s job is an excellent example of a non-data scientist title where
Yaakov is a data scientist and theatre producer. He has experience working in start-ups and more recently as a free data scientist ready to make trouble. He has worked on some very interesting projects bringing art and data science together. W
Nikola and Petr both work for the same company in Prague. DataSentics, where they work, has a wide selection of projects and a very interesting portfolio. As part of their jobs as data scientists, Nikola and Petr not only implement machine lear
On this week's episode, I welcome Katia Stambolieva, proud co-founder of the space tech company NinaSpace and a freelance data scientist. In NinaSpace, Katia and the team work on detecting wildfires from space and warn governments on time to mi
In this week's episode, Jigyasa Grover of Twitter joins me to talk about her career and machine learning engineering. She shares her journey of becoming a machine learning engineer and the steps she took throughout the years. We dive deeper in
In this episode, we look into one of the many data-related titles: product analyst. Kasia Rachuta is a product analyst at Square, a financial services company in San Francisco. She also held data science positions before and is able to compare
Samantha joins me to talk about her career in the fourth episode of So you want to be a data scientist. She is a senior data scientist at Sentry.io in San Francisco. We talk about her journey from academia to business. We also discuss her daily
Melissa is a technical writer at Uber working specifically for the machine learning team. In this episode we get to learn more about technical writing and what this job entails. Melissa talks about her journey of becoming a technical writer, sh
Data science can take many shapes and forms. It is important to get insights from people working in different industries, different sized companies and different roles. In this episode, Víctor García Cazorla joins me to share his data science s
Madli is a former colleague of mine who is currently working for a new exciting start-up called Pactum. She is an entrepreneur at heart and a badass data scientist with a background in social sciences. She worked in many cool projects during he
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