How to Get Hired as a Data Scientist
Key Takeaways:- Learn which technical and soft skills are most important for data science roles.
- Discover how to build a compelling data science portfolio and navigate the interview process.
- Understand how AI is changing data science careers—and how to stay ahead
Description
Breaking into data science can feel overwhelming—especially as the role continues to evolve in the age of AI. Employers are looking for more than just technical skills; they want problem solvers who can communicate insights, collaborate across teams, and adapt to rapidly changing tools and expectations.
In this panel interview webinar, Sophia Lu, Lindsey Zuloaga, and Bilal Zia, will share what it really takes to land a data science role today. You’ll learn which technical and soft skills matter most, how to build a portfolio that stands out, and what to expect from the interview process. The panel will also discuss how AI is reshaping the field—and how to future-proof your career in response.
Presenter Bio
Sophia is a data science leader with over 10 years of experience delivering advanced analytics and AI/ML solutions across consumer banking, wealth management, auto lending, retail, e-commerce, and digital products. Previously, she was an Advanced Analytics Lead at Macy's.
Dr. Lindsey Zuloaga is the VP of Data Science at Pattern®, where she scales world-class teams to solve the most complex challenges in e-commerce. With a Ph.D. in Applied Physics and a decade-long legacy as a pioneer of AI in hiring at HireVue, Lindsey frequently speaks on the future of work. Her career is defined by a commitment to ethical AI and scientific rigor, making her a trusted voice on how AI is reshaping the modern workplace.
Bilal runs the data function at Duolingo. He was responsible for overhauling the data team to be high impact and AI-forward. Bilal's expertise includes building business forecasting infrastructure and creating machine learning applications. Previously Bilal was Principal Economist at Amazon and a Senior Economics Lead at the World Bank.