How To Build a World Class Data Science Team

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In this episode, I talk about data scientists and ways you can attract the best talent to your team. Instead of telling your employees what they can do better, make them curious as to what they could do better. Then, I reveal the three things to look for when analyzing your pool of applicants. Once you have your team, now what? Once you have a decent pay settled, I explain the three things you will need to have for a capable team. Later, I tell you the elements, as a manager, you should be doing as rarely as possible.

In This Episode:

• [02:45] How to attract data scientists to your team?

• [04:45] The three things to look for from your pool of applicants

• [07:05] Adversity; test how they would react 

• [11:00] Three things needed to run an effective team

• [18:00] Managers should be doing this as rarely as possible

Creating a Data Team Session Quotes:

1. “Create a learning environment and continually challenging projects to focus on their development.”

2. “People should be open-minded and willing to learn; I test this in two different ways.”

3. “A lot of people come with technical skills from other countries.”

4. “They had to code it live with about eight people watching them, no pressure!”

5. “You know the answer, and you want to tell them to get to the outcome quickly. That’s an urge you have to roll back and fight against.” 

6. “Purpose is really what gets us out of bed every day.”

7. “Make yourself redundant as quickly as possible.”

Resources Mentioned: 

Drive: The Surprising Truth About What Motivates Us

Connect:

Twitter - https://twitter.com/datafuturology

Instagram - https://www.instagram.com/datafuturology/

Facebook - https://www.facebook.com/datafuturology

 

Now you can support Data Futurology on Patreon! 

https://www.patreon.com/datafuturology

 

Thank you to our sponsors: 

UNSW Master of Data Science Online: studyonline.unsw.edu.au 

Datasource Services: datasourceservices.com.au or email Will Howard on will@datasourceservices.com.au 

Fyrebox - Make Your Own Quiz!

Felipe is based in Melbourne, Australia

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

 

Kickstarting 2019 With A Look Back at 2018 (Part 2): Episodes 19 to 34

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A lot of listeners have asked what have been my takeaways from the 30+ discussions with the guests on this podcast so far. To launch 2019 I’ve done a look back at all episodes from 2018. This is part 2 where I discuss episodes 19 to 34.

I hope you enjoy my recollection of these conversations. I’d love to hear what were your favourite takeaways!

Connect:

Twitter - https://twitter.com/datafuturology

Instagram - https://www.instagram.com/datafuturology/

Facebook - https://www.facebook.com/datafuturology

 

Now you can support Data Futurology on Patreon! 

https://www.patreon.com/datafuturology

 

Thank you to our sponsors: 

UNSW Master of Data Science Online: studyonline.unsw.edu.au 

Datasource Services: datasourceservices.com.au or email Will Howard on will@datasourceservices.com.au 

Fyrebox - Make Your Own Quiz!

Felipe is based in Melbourne, Australia

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

Kickstarting 2019 With A Look Back at 2018 (Part 1): Episodes 1 to 18

Kickstarting 2019 With A Look Back at 2018 (Part 1): Episodes 1 to 18

A lot of listeners have asked what have been my takeaway points from the 30+ discussions with the guests on this podcast so far. To launch 2019 I’ve done a look back at all episodes from 2018. This is part 1 where I discuss episodes 1 to 18.

I hope you enjoy my recollection of these conversations. I’d love to hear what were your favourite takeaways!

Connect:

Twitter - https://twitter.com/datafuturology

Instagram - https://www.instagram.com/datafuturology/

Facebook - https://www.facebook.com/datafuturology

 

Now you can support Data Futurology on Patreon! 

https://www.patreon.com/datafuturology

 

Thank you to our sponsors: 

UNSW Master of Data Science Online: studyonline.unsw.edu.au 

Datasource Services: datasourceservices.com.au or email Will Howard on will@datasourceservices.com.au 

Fyrebox - Make Your Own Quiz!

 

Felipe is based in Melbourne, Australia



And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

#24 Mistakes in Building a DS Capability by Felipe Flores

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This is a different type of episode! This episode is a presentation I recently did at a large financial services institution. I presented on 5 Mistakes and Lessons Learned in Driving Business Value with Data Science and the Cloud.

I talk about:
- Using Lean Startup and Design Thinking principles in Data Science
- The importance of staying close to your end customer and what that looks like in practice
- The difference between machine learning for machines and for humans
- What is the purpose of ML/AI and how you can bring that thinking into your organisation
- What using ML for humans looks like
- Using data from other areas
- Leverage the flexibility of the cloud

Questions:

How can I learn data science?

Online Courses:

  • John Hopkins Data Science Specialisation on Coursera

  • Machine Learning by Andrew Ng on Coursera

  • Springboard: online course with mentor - get $250 off http://bit.ly/df-sb


Slides below. 

Felipe is based in Melbourne, Australia

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

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#8 Agile Data Science by Felipe Flores

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This is a different type episode! This is a recording of a presentation I did to about 300 data scientists in Melbourne, Australia. The theme of the night was Agile Data Science, a passion of mine. In this episode I cover:

- the productivity gains an individual and a team can gain using agile methods
- how agile is imperfect but very helpful
- how I've tweaked agile to fit data science and deliver value with my teams
- bust some of the main myths around agile, and much, much more!

I hope you enjoy the episode!

I am based in Melbourne, Australia and currently travelling for a few months!