Go offline with the Player FM app!
#254 - What Do Data Scientists Actually Do? A Candid Conversation with Ryan Varley
Manage episode 493133620 series 3399111
Have you ever wondered what data scientists and engineers actually do all day? Forget what you've seen in movies – it's not all neural networks and fancy algorithms.
Ryan Varley, Engineering Fellow at Magnite and experienced data leader, pulls back the curtain on the rapidly evolving world of data science and engineering.
The real work often involves what he colorfully describes as "really complex plumbing" – making processes more efficient, reliable, and scalable in ways that directly impact business outcomes.
Whether you're considering a career pivot into data, trying to understand how these roles fit within your organization, or simply curious about the mechanics behind today's AI revolution, this episode provides an accessible window into a complex and increasingly crucial field.
Connect with Ryan on LinkedIn .
Read Ryan's Newsletter for engineering leaders facing the hardest problem in scaling their impact: https://newsletter.ryanvarley.com/
Shameless Plugs
🧑💻 Join Parsity - For career changers who want to pivot into software.
✉️ Got a question you want answered on the pod? Drop it here
Zubin's LinkedIn (ex-lawyer, former Googler, Brian-look-a-like)
Chapters
1. Introduction to Ryan Varley (00:00:00)
2. Data Science Evolution and AI Impact (00:05:45)
3. Day in the Life: Data Engineering (00:11:21)
4. Why Data Teams Are Core (00:18:27)
5. Career Paths in Data Science (00:21:16)
6. Database Preferences and MongoDB Critiques (00:28:52)
7. Machine Learning Applications and Resources (00:33:19)
259 episodes
Manage episode 493133620 series 3399111
Have you ever wondered what data scientists and engineers actually do all day? Forget what you've seen in movies – it's not all neural networks and fancy algorithms.
Ryan Varley, Engineering Fellow at Magnite and experienced data leader, pulls back the curtain on the rapidly evolving world of data science and engineering.
The real work often involves what he colorfully describes as "really complex plumbing" – making processes more efficient, reliable, and scalable in ways that directly impact business outcomes.
Whether you're considering a career pivot into data, trying to understand how these roles fit within your organization, or simply curious about the mechanics behind today's AI revolution, this episode provides an accessible window into a complex and increasingly crucial field.
Connect with Ryan on LinkedIn .
Read Ryan's Newsletter for engineering leaders facing the hardest problem in scaling their impact: https://newsletter.ryanvarley.com/
Shameless Plugs
🧑💻 Join Parsity - For career changers who want to pivot into software.
✉️ Got a question you want answered on the pod? Drop it here
Zubin's LinkedIn (ex-lawyer, former Googler, Brian-look-a-like)
Chapters
1. Introduction to Ryan Varley (00:00:00)
2. Data Science Evolution and AI Impact (00:05:45)
3. Day in the Life: Data Engineering (00:11:21)
4. Why Data Teams Are Core (00:18:27)
5. Career Paths in Data Science (00:21:16)
6. Database Preferences and MongoDB Critiques (00:28:52)
7. Machine Learning Applications and Resources (00:33:19)
259 episodes
All episodes
×Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.