DataFramed

#28 Organizing Data Science Teams

Jun 25, 2018

59:06

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Episode notes

I Love That You Mentioned Regression in Power Point Presentations

02:06

Data Scientists and Data Science Teams - How Can You Handle This?

03:58

How Do You Store the Knowledge That You Gain From Data Science?

01:39

Introduction

3min

I Love That You Mentioned Regression in Power Point Presentations

2min

Why Data Science Projects May Not Work

3min

Data Science Is the New Oil

2min

Data Science - Is Your Model Just Doesn't Contain a Signal?

4min

How Did You Become Into Data Science?

3min

Data Science - Which Verticals Are Ripe for Data Science?

4min

Is Data Science the Next Big Thing?

2min

Data Science Best Practices

2min

10.

The Power of Branching and Merging

2min

11.

Data Science Can Be Highly Impactful

3min

12.

The Past Will Be a Good Predictor of the Future, Right?

2min

13.

Organizing Data Science Teams

2min

14.

How Do You Store the Knowledge That You Gain From Data Science?

2min

15.

Data Science - Is There a Way to Store the Knowledge?

2min

16.

Data Science

2min

17.

Data Science

3min

18.

Data Science for Social Good - How Can You Get Into It?

3min

19.

Data Scientists and Data Science Teams - How Can You Handle This?

4min

20.

How to Hire Data Scientists

2min

21.

Is Your Product a Model or an Idea?

2min

22.

The Role of Generalists in Data Science

4min

23.

Can You Pull the Last Five Tuesdays Worth of Data?

3min

24.

Data Science, Team Organization and the Dos and Don'ts of Managing Data Science Teams

2min

What are best practices for organizing data science teams? Having data scientists distributed through companies or having a Centre of Excellence? What are the most important skills for data scientists? Is the ability to use the most sophisticated deep learning models more important than being able to make good powerpoint slides? Find out in this conversation with Jacqueline Nolis, a data science leader in the Seattle area with over a decade of experience. Jacqueline is currently running a consulting firm helping Fortune 500 companies with data science, machine learning, and AI. This interview is with Jacqueline Nolis, but at the time of recording, she went by Jonathan Nolis.

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DataFramed

#28 Organizing Data Science Teams

I Love That You Mentioned Regression in Power Point Presentations

Data Scientists and Data Science Teams - How Can You Handle This?

How Do You Store the Knowledge That You Gain From Data Science?

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Save anymoment

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