Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine learning roles. They discuss the importance of assessing candidates' genuine knowledge of traditional and deep learning models and the value of being candid about one's expertise.
They explore how technical skills, particularly in applied machine learning, are evaluated with a focus on their impact on business outcomes. Michael and Ben also address the common misalignments between job descriptions and the actual skills required, stressing the need for problem-solving capabilities and critical thinking over memorized knowledge.
Additionally, they delve into the roles within data science—analysts, applied ML specialists, and researchers—highlighting the importance of fitting the right skills to the right job. They also touch on the evolving expectations and frustrations with the current hiring process, offering insights on how it can be improved.
Stay tuned as they unpack these topics and more, including valuable tips for showcasing your skills effectively on resumes, and the significance of asking insightful questions during interviews. Whether you’re an aspiring data scientist or a seasoned professional, this episode is packed with practical advice and industry insights you won’t want to miss!

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Episoder(209)

Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137

Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137

Richard Berk delves into the exciting world of machine learning in a thought-provoking discussion on a wide range of topics. They explore the potential for Westworld-style androids, considerations in ...

21 Des 20231h 28min

Beyond Machine Learning - ML 136

Beyond Machine Learning - ML 136

Michael and Ben take a deep dive into the insightful journey spanning nuclear engineering, software development, and mentorship at Databricks. They delve into the complexities of career progression, t...

7 Des 20231h 15min

Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135

Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135

Piotr Skalski is a computer vision engineer at Roboflow. They dive deep into the world of computer vision and AI technology, exploring the utilization of video, photo, and imagery data in array proces...

30 Nov 20231h 15min

Complexity Theory - ML 134

Complexity Theory - ML 134

In today's episode, we speak with Neil Theise, a pathologist at NYU and author of Notes on Complexity: A Scientific Theory of Connection, Consciousness and Being. Expect to learn about complexity theo...

23 Nov 20231h 28min

How To Recession Proof Your Job - BONUS

How To Recession Proof Your Job - BONUS

Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" DealCoupon Code: "THRIVE" for a GIANT discountAre you looking at all the layoffs and uncertainty going on and wondering if you...

23 Nov 20231h 12min

Data Watchdogs - ML 133

Data Watchdogs - ML 133

In today's episode, we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland) about data privacy, accessibility, and accuracy. Expect to learn about how Poland ap...

16 Nov 20231h

Causal Analysis - ML 132

Causal Analysis - ML 132

In today's episode, we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn a 3-step blueprint for doing causal analysis, thinking critically about data, crea...

9 Nov 20231h 2min

Data Visualization and Hugging Face - ML 131

Data Visualization and Hugging Face - ML 131

In today's episode, we chat with Sylvain Lesage from Hugging Face, a specialist in data visualization and software engineering. Dive in to discover insights about Hugging Face's software engineering e...

2 Nov 20231h 7min

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