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Why do Company’s Need Data Scientists with Asim Razvi of Intertru Inc.

06.02.2022 - By Rick GirardPlay

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Do you really need a data scientist for your startup?

Throughout my career, I have placed a lot of data scientists at smaller companies. Most of the people placed left within a year of starting with the common feedback that the work didn't warrant having a data scientist.

In most cases a data engineer is more than sufficient to build the organization. Sure AI and machine learning may be critical to your business but the question that should be asked before anyone is hired.

Guest Bio:

Asim Razvi has been focused on Business Intelligence for the last 20 years. He leads the analytics and data strategy for high growth companies.  Asim brings a wide background across Media, Communications and Finance and has built Business Intelligence practices for PwC, Cognizant and Accenture.  

Formerly the Head of Education and Research for TDWI where his focus was to rebuild the TDWI brand through alignment with Analytics, Big Data and Cloud thought leadership.

TODAY WE DISCUSS:

Why to think twice before hiring a data scientist

How to hire once a need is established

Challenge today?

Why hire a data scientist?

Hiring company

Think they need AI & ML

Its a trademark

Organization set up for a data scientist

Organization 

Data maturity

Data Scientist

Build something valuable 

Not a subject matter expert on what the company wants

Insights that drive the company

Needs to be linked to the business level

Why is this important to the company?

Knowing when to hire a data scientist

Monetize data

Most companies don't need data scientists.

Data analyst - subject matter expert 

Provide the relevance

Rick’s Nuggets

Not enough challenging work

How do we solve the problem? 

Focus on data maturity

Sophisticated business users

Want business user to become information explorer - drill down

Power user- pair with analyst

Organization

Vertical chain

Data scientist working in the sweet spot- co-creation feedback loop

Readiness assessment

How prepared is the organization to hire a data scientist

Do I have the “track”?

Data engineer on board

Hire or use a Tool

Data robot 

Enable users to become data scientists

Predict algorithms that work

Hire

You don't need a data scientist as a startup

Learning - neural net capability

Key Takeaways that the Audience can plug into their business today! (Value):

Don't hire earlier than you need to

Remember you need data for a data scientist to work

The Business needs to be mature enough in data to hire the data scientist

Make sure there is a career arc for the data scientist to grow in the organization

Guest Links:

LinkedIn: https://www.linkedin.com/in/asimrazvi/

Company: https://hydrafacial.com/

Twitter: https://twitter.com/DataAsArt

Host Links: 

LinkedIn: https://www.linkedin.com/in/rick-girard-07722/

Company: https://www.stridesearch.com/

Podcast: https://www.hirepowerradio.com

YouTube: https://www.youtube.com/channel/UCeEJm9RoCfu8y7AJpaxkxqQ

Authored:  "Healing Career Wounds"  https://amzn.to/3tGbtre

HireOS inquiry: [email protected]

Show Sponsor:

www.stridesearch.com

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