20 episodes

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.

Build a Career in Data Science Jacqueline Nolis and Emily Robinson

    • Business
    • 4.8 • 43 Ratings

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.

    Epilogue: So What Have We Learned?

    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.

    • 38 min
    Interlude: Managing Your Manager

    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.

    • 52 min
    Chapter 16: Moving up the ladder

    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.

    • 1 hr 3 min
    Chapter 15: Leaving Your Job Gracefully

    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.

    • 56 min
    Interlude: Help! My Job Search Isn't Working

    Interlude: Help! My Job Search Isn't Working

    In this special live episode recorded at the ODSC East conference, Emily and Jacqueline discuss what to think about it you can't seem to find that data science job you want. They talk about the different reasons why job hunts don't work, what you can do about it, and answer listener questions from the audience.

    • 37 min
    Chapter 14: Joining the Community

    Chapter 14: Joining the Community

    Social media, conferences, blogs, and meetups--there are many places where data scientists congregate outside of work. But how does a data scientist become a part of these communities and contribute? In this episode Jacqueline and Emily discuss speaking at conferences, awkwardly attending your first meetup, and many other moments that can happen when a data scientist starts to join the community.

    • 1 hr 1 min

Customer Reviews

4.8 out of 5
43 Ratings

43 Ratings

Joe fashow ,

Solid pod

Great personalities. Good job seeker info that could apply to many fields in software. I especially enjoy the subtle gamer references throughout

DataResearcher ,

Expansive and Inclusive DS Insights

Five years ago I’d never heard of data science. My company has been on a hiring spree for data scientists for 2 years. My job has become data science adjacent, and I wanted to better understand what is data scientist, how might I work with them and how do they think about business problems.
I love this podcast! The hosts are knowledgeable, experienced and approachable.
Their conversations are interesting, lively and fun.
They share interesting insights about data science challenges and data ethics. When I have a problem, like I’d like my algorithm to have anti-bias measures built-in, I’m ready to go to the data scientists at my job and present the challenge, discuss parameters and let them work it.

Bitwicre ,

Love the SPONSORS. Pls keep going.

I write this review to ask that Jacqueline NOT stop the fake sponsors. This podcast, brought to you both by TWITTER and GREEK LETTERS, is so good. Even just as a novice who is vaguely interested. It’s been helpful in job searching and interview prep even outside of the specific field. And especially as a women I do not feel gaslit by these two wonderful ladies. Rare and encouraging.

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