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[DataFramed Careers Series #1] Launching a Data Career in 2022

May 30, 2022
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Today is the start of a four-day careers series covering breaking into data science in 2022. In the first episode of the DataFramed Careers Series, we speak with Sadie St Lawrence about what it takes to launch a career in data in 2022.  

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Key Takeaways

1

It has never been easier, and more competitive to become a data scientist. The amount of readily available learning resources means it requires more to stand out from the crowd.

2

Experience is just as important as education in data science, so building a portfolio of projects and experiences is vital to starting a successful data career. A great place to start is by volunteering and sharing your work.

3

No matter how much you grow, Imposter Syndrome doesn’t go away. Use it to your advantage by identifying where you can strengthen your courage and increase your consistency.

Key Quotes

During interviews, companies are not just interviewing you, you're interviewing them.  How do they respond to your answers? Do they respond in a collaborative way or in a closed, aggressive way that doesn't make you feel good? Take the insights you find not as you did something wrong, but as insights into the culture of this organization. Be aware in the interview to small, subtle body language and tonal things that will give you insight into what that overall culture is.

If you want to be seen, then you have to share your work. The analogy I like to use is a music box. If you've ever seen a music box, when it's closed and just sitting on the table, you never actually get to hear what the beautiful sound is inside of it. It’s similar for data scientists that lack communication skills. They may have these amazing skills, but they're all locked in this box and no one ever knows about them. You have to open the box, and you do that by being able to tell those stories and communicate those skills. So, it's really up to you. Do you want people to hear your story and experience your amazing skills and ability? Then you're going to need the communication skills so that you can open your box.

About Sadie St. Lawrence


Photo of Sadie St. Lawrence
Guest
Sadie St. Lawrence

Sadie St Lawrence is the Founder and CEO of Women in Data, the #1 Community for Women in AI and Tech. Women in Data is a community of over 20,000 individuals and has representation in 17 countries and 50 cities. She has trained over 350,000 people in data science and is the course developer for the Machine Learning Certification for UC Davis. In addition, she serves on multiple start-up boards, and is the host of the Data Bytes podcast.


Photo of Adel Nehme
Host
Adel Nehme

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

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