
22 episodes

Build a Career in Data Science Jacqueline Nolis and Emily Robinson
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- Business
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4.8 • 64 Ratings
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Build a Career in Data Science teaches you what data science courses leave out: from how to land your first job to the lifecycle of a data science project and even how to become a manager. This is a true how-to on obtaining and then navigating a data science career--filled with real stories from data scientists. This podcast is an extension of the similarly named book: Build a Career in Data Science.
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Oops! We're Both Unemployed!!
This very surprise bonus episode was made after Emily and Jacqueline found themselves simultaneously unemployed. Here Emily will chat about being part of a 15% company-wide labor reduction while Jacqueline walks through the steps she's been doing as she interviews with new companies. Join them for some vulnerable conversation that are relevant to this current wave of layoffs.
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Interlude: Data Science Subfields
In this special live episode recorded at PyLadies London, Emily and Jacqueline discuss those little subfields of data science like experimentation and fraud. They ponder the benefits of becoming more specialized in your career and how different fields have different cultures. The episode ends with a Q&A using live audience questions!
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Epilogue: So What Have We Learned?
In the final episode of Season 1, Emily and Jacqueline take a moment to reflect on all they've learned in writing a book and making a podcast about data science careers.
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Interlude: Managing Your Manager
In this special live episode recorded at the Data Science DC, Emily and Jacqueline talk about data scientists' relationships with their managers. They discuss how you should communicate with your manager, how much you should be doing what your manager asks vs what you think is best for the company, and other topics. Several times in the episode Jacqueline and Emily disagree, adding drama and intrigue.
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Chapter 16: Moving up the ladder
After you are a senior data scientist for a few years, what is next? In this episode Jacqueline and Emily talk about three possible career moves for seasoned data scientists: becoming a manager, a technical lead, or an independent consultant. They discuss the pros and cons of the different types of jobs and strategies for getting into those roles.
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Chapter 15: Leaving Your Job Gracefully
"You can't fire me I quit!" --a great example of not leaving a job gracefully (but hey it happens!). In this week's episode Emily and Jacqueline discuss how to decide when the right moment is for you to leave a job, and what steps you should take. They also talk about the realities of the situation, like managers who don't seem to listen when you discuss why you are unhappy, walking out of job, and getting a last minute counter offer.
Customer Reviews
DS Career Demystified!!
Great resource if you are eagerly hoping to make the jump to DS but equally terrified! They playfully yet informatively give you a realistic look inside the field that you don’t ever get when reading the technical books or listening to technical media about DS. Great podcast for any newbie interested in data science.
So good!
Where has this podcast been! Amazing!
Perfect balance of ruthless insight along with levity and context to demystify the profession and make it approachable. More please.
Very Insightful!
One can really find a podcast out there about anything! I’m so grateful to have stumbled upon this. I’m just starting out my data science journey as I just graduated from college w a bio degree completely lost on what to do next. I’ve spent the last 4 months after graduating going thru a whole quarterlife crisis and was even about to teach English abroad in South Korea! However, my friend urged me to look into tech and long story short I fell in love with the idea of becoming a data scientist. This podcast has helped confirm that I am making the right choice! I love how informative and REAL you guys are and I truly believe everyone starting out on this path should begin with this podcast. I can’t wait to see how far I will go but this podcast will forever be the first stepping stone into my career as a data scientist! Thank you.❤️