28 min
Why do Company’s Need Data Scientists with Asim Razvi of Intertru Inc. Hire Power Radio Show
-
- Entrepreneurship
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: rick@stridesearch.com
Show Sponsor:
www.stridesearch.com
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: rick@stridesearch.com
Show Sponsor:
www.stridesearch.com
28 min