How to choose between software engineering and data science | 5 Key Considerations | Tina Huang

A recent discussion highlights the key differences between pursuing a career in data science versus software engineering. The speaker, who transitioned from an internship at Amazon to a full-time data scientist role at Goldman Sachs, outlines five critical considerations for those weighing their options.

The first consideration is the mindset: software engineering focuses on building products using engineering tools, while data science emphasizes discovering insights from data. The second point addresses the clarity of roles, noting that software engineering offers more defined job descriptions compared to the interdisciplinary nature of data science, which can vary significantly between positions.

Career progression and salary are also discussed, revealing that while software engineering has a more structured career path, data science roles can lead to various specializations. The average salaries for both fields are comparable, with data scientists earning slightly more on average, though the speaker notes that this can vary based on specific roles. Finally, the speaker emphasizes the entrance barriers, indicating that securing a job in software engineering is generally easier due to a higher number of available positions compared to data science roles.

How to choose between software engineering and data science | 5 Key Considerations

Software Engineering vs Data Science? Last year, I made a choice between a software engineering and a data science position. In this video, I outline 5 key considerations that helped me choose between software engineering and data science. Hopefully it helps you make the choice as well!🔗Affiliates========================365 Data Science: https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tinaGoogle Data Analytics Certificate on Coursera: https://bit.ly/33tYQYA🎥 My Filming Setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqk📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🤯Study with Tina ========================Study with Tina channel:https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar:https://bit.ly/3wvPzHB🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈‍⬛🐈‍⬛About me ========================Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: [email protected] ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

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