[DataFramed Careers Series #4]: Acing the Dat...

The role of the machine learning engineer is being rewritten in real time. AI coding assistants are absorbing parts of the day-to-day, planning and evaluation are eating up more of the week, and the lines between machine learning engineer, AI engineer, and data scientist are blur ...  Show more

Every conversation about AI in data eventually arrives at the same question: which roles survive, and which ones get automated away? Generative AI can already draft SQL, build dashboards, and run exploratory analysis — but it still can't sit with a business stakeholder and untang ...  Show more

In this podcast episode, Avery talks with Akshay Swaminathan, co-author of the book 'Winning with Data Science: A Handbook for Business Leaders.

They discuss the vague terms often thrown around in the data science industry and underline the importance of understandi ...

Harshal Sanap talks about how he took himself from a data science student and graduate to a full time professional in data science and shares mistakes to avoid to get started in your career. In this episode you will learn: Harshal at DSGO [8:12] Harshal’s first data science jo ...  Show more

In this episode of the Data Career Podcast, Avery interviews Eric Cuentas, a chemical engineer who turned into a data analyst and career coach.

They discuss obstacles when pursuing career goals and highlight the importance of determining genuine motivations to align wit ...

The 100th celebration episode of the Data Career Podcast features a special panel interview conducted by Avery Smith with prominent data content creators, including Ken Jee, Monica Kay Royal, Richad Nieves-Becker, and ...