In Episode 11 of Driven by Data: The Podcast, Kyle Winterbottom is joined by Andrew Jones, Founder of Data Science Infinity, where they discuss how to be successful with Data Science.

Andrew comes from a non-technical background but established himself as a very credible Data Scientist, eventually taking leadership roles at organisations such as Amazon and Sony where he was responsible for building Data Science teams.

In this episode, Andrew outlines the key considerations of success for both Data Scientists and organisations that are on that Data Science journey, which includes:

• Why he started Data Science Infinity
• The disconnect between DS courses and the needs of the real world
• What skills you need as Data Scientist to land a great job
• Why the tech you use is somewhat irrelevant
• How the real art is learning how to problem solve
• The importance of being able to translate & story tell
• What differentiates a good data scientist and great data scientist
• Why nobody will pay you JUST to code and build ML models
• The “Grey Area” between Data Engineering and Data Science
• What organisations should expect of Data Science
• Why having a minimal viable product is great to manage expectations
• Why you’ll never attract the best talent by advertising solely on technical skills
• The questions you need to ask when interviewing Data Scientists

Link to the Data Science Infinity page: https://data-science-infinity.teachable.com/