logo
episode-header-image
May 2022
40m 25s

[DataFramed Careers Series #1] Launching...

DATACAMP
About this episode

Today is the start of a four-day careers series covering breaking into data science in 2022. With so so much demand for data jobs today, we wanted to demystify the ins and outs of accelerating a career in data. In this series, we will interview a diverse range of thought leaders and experts on the different aspects of standing out from the crowd in the job hunt.

Our first guest in the DataFramed Careers Series is 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.

Sadie joins the show to talk about her career journey in data science and shares the best lessons she has learned in launching data careers.

Throughout the episode, we discuss

  • The different types of data career paths available
  • How to break into your data science career
  • How to build strong mentor/mentee relationships
  • Best practices to stand out in a competitive industry
  • Building a strong resume and standing out from the crowd 

[Announcement] Join us for DataCamp Radar, our digital summit on June 23rd. During this summit, a variety of experts from different backgrounds will be discussing everything related to the future of careers in data. Whether you're recruiting for data roles or looking to build a career in data, there’s definitely something for you. Seats are limited, and registration is free, so secure your spot today on https://events.datacamp.com/radar/

Up next
Today
#333 Creating an AI-First Data Team with Bilal Zia, Head of Data Science & Analytics at DuoLingo
<p>Data science leadership is about more than just technical expertise—it’s about building trust, embracing AI, and delivering real business impact. As organizations evolve toward AI-first strategies, data teams have an unprecedented opportunity to lead that transformation. But h ... Show More
44m 40s
Nov 17
#332 How to Build AI Your Users Can Trust with David Colwell, VP of AI & ML at Tricentis
<p>The relationship between data governance and AI quality is more critical than ever. As organizations rush to implement AI solutions, many are discovering that without proper data hygiene and testing protocols, they're building on shaky foundations. How do you ensure your AI sy ... Show More
1h 5m
Nov 12
#331 The Future of Data & AI Education Just Arrived with Jonathan Cornelissen & Yusuf Saber
The future of education is being reshaped by AI-powered personalization. Traditional online learning platforms offer static content that doesn't adapt to individual needs, but new technologies are creating truly interactive experiences that respond to each learner's context, pace ... Show More
58m 24s
Recommended Episodes
Mar 2022
Mining the Golden Age of Data with Tableau’s CEO & President Mark Nelson
<p><a href="https://www.linkedin.com/in/markthomasnelson/">Mark Nelson</a> is the President and CEO of <a href="https://www.tableau.com/">Tableau</a>, a company dedicated to democratizing analytics and putting data back in the hands of consumers. But while this digital pioneer ma ... Show More
36m 32s
Jan 2022
Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology
<p>The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ... Show More
39m 32s
Apr 2021
Designing a Better Future: Mastercard’s JoAnn Stonier
JoAnn Stonier can’t deny that her role as chief data officer at Mastercard isn’t easy. Advising the company on the mitigation of current and future risk while guiding her team to think critically about the problems they’re using AI to solve is challenging — but, she says, it’s al ... Show More
29m 57s
Jun 2023
How to Find Career Joy from Day One
Are you prepared to thrive at your first job or internship? Get ready to navigate the workplace with Shannon Lewandowski, Development Program Director at Great American Insurance Group. This week’s conversation dives into the common skills gaps for new college graduates, how to n ... Show More
27m 13s
Jun 2023
Training Self-Belief with Women In Data Science’s Professor Margot Gerritsen
Self-belief is a journey, and there will be bumps in the road. A lack of self-belief is something Professor Margot Gerritsen still experiences sometimes, even after achieving Professor Emeritus status at Stanford. Margot now dedicates her time to running Women in Data Science (Wi ... Show More
20m 35s
May 2022
The Collaboration Muscle: LinkedIn’s Ya Xu
Over the course of her nine-year tenure at LinkedIn, Ya Xu has held technology roles with increasing responsibility. Today, she heads the data function for the online professional networking platform. Ya joins hosts Sam and Shervin in this episode to discuss AI’s essential role i ... Show More
31 m
Sep 2020
Chapter 1: What is Data Science?
<p>What actually *is* data science, and what does a data scientist do? What kind of backgrounds do data scientists come from and what skills do you need to be one? In this episode we start with the basics—declaring once and for all what is data science anyway and exploring how th ... Show More
55m 8s
Dec 2021
Making the Turn from Data Inventory to Helpful Information with Mara Reiff, the Chief Data Officer of FreshBooks
<p>If data is in a pool that only keeps getting deeper as data inventory is accounted for, when is the exact moment for a business leader to jump in to do something with all the accumulated information? Leaders who care about data appreciate that it’s necessary to take stock befo ... Show More
32m 50s