
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Panel: Advancing Your Data Science Career During the Pandemic - #380
Jun 4, 2020
In this panel, Ana Maria Echeverri, Caroline Chavier, Hilary Mason, and Jacqueline Nolis share invaluable insights for data professionals navigating career shifts during the pandemic. They discuss the importance of upskilling, mentorship, and community support while addressing job market changes, particularly the decline in opportunities. The panelists emphasize crafting effective elevator pitches and building personal brands to attract recruiters. They also tackle biases in hiring and advocate for inclusive hiring practices in the tech industry.
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Portfolio Building
- New data scientists should actively apply their skills to personal projects.
- Demonstrate initiative and curiosity by exploring topics of interest and building something.
Passionate Portfolios
- Create portfolio projects with passion and make them intriguing.
- A single interesting project can be more effective than generic code demonstrations.
Good vs. Great Jobs
- Not all data science jobs are created equal; consider team dynamics and company culture.
- Prioritize positions that align with your career goals and work preferences.






