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Career Showdown: Data Scientist vs. Analytics Engineer

Key Takeaways:
  • Understand the core differences between data scientists and analytics engineers.
  • Learn what technical and soft skills are essential for each role, and how AI is changing the roles.
  • Get expert advice on how to build a standout data portfolio and grow your career.
Thursday, July 17, 11 AM ET
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Description

Choosing a data career path can be overwhelming—especially when the roles sound similar but demand different strengths, skills, and mindsets. For those entering the field, understanding the real differences between the different data archetypes  is key to making confident, career-shaping decisions.

In this presentation webinar, Anurag Gangal, a Data Science Manager at Spotify, will teach you how to navigate the two most popular career paths in data. You’ll learn how these roles compare, what skills you’ll need for each, and where they sit within an AI-first modern data team. You’ll also get tips on building a strong portfolio and setting yourself up for long-term success in the data world.

Presenter Bio

Anurag Gangal Headshot
Anurag GangalData Science Manager at Spotify

Anurag leads the Product Insights and Analytics Engineering team for Spotify Podcasts. He's an experienced data scientist and analytics engineer, with experience across product, business operations, and finance.

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