Relevant insights for a manager in India
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This document provides insights for managers on finding a data scientist for their company. It recommends not specifically searching for a data scientist, as a logical person with basic data skills and a creative mindset can help the company more. The person should have basic math, programming, logical thinking, problem-solving abilities and understand key data science principles. Managers should start small with simple problems and focus on people skills rather than exclusively searching for a unicorn data scientist. The overall message is that investing time in the right person can yield better returns than persistently searching for an elusive data scientist.
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Relevant insights for a manager in India
- 1. STOP SEARCHING FOR THAT ELUSIVE DATA SCIENTIST
- 2. HELLO! These Article is written by Michael Schrage. Research Fellow, MIT Center for Digital Business Center for Digital Business. 2
- 3. Insight #01 ● Do not run for finding a Data Scientist for your company. Because a Data Scientist Cannot help your company as much as a normal Logical Person with creative ideas. 3
- 4. Insight #02 ● Instead we have to find a person with basic knowledge of data and make that person work hard on the project you assign. 4
- 5. Insight #03 ● We have to Keep it Simple ● Simple Problem Statement can help to think in new dimensions and hence enhance the system efficiency. ● Adopt the research methodology through analytics to find the relevant solution 5
- 6. The Person You appoint must have following skills: ▰ Basic Mathematical Skills ▰ Basic Programming Skills ▰ High on Logic ▰ Creative Mindset ▰ Problem Solving Approach ▰ Key Principles of Data Science 6
- 7. Relevant Insights For A Manager In India 7
- 8. 1. Start Small, Go Big. ▰ The goal is to make all of the organization-- not just the geeks and quants-- more conversant in how to align probabilty, statistics, technology and business value creation, 8
- 9. 2. People Are People ▰ Data Scientists either produce analytics for machines or humans, but generally not both. ▰ The two types of analysis require different skills. 9
- 10. 3. GIve Up! ▰ Stop Hunting For that Data Scientist unicorn and/or Silver Bullet ▰ Chances are slim that your organization would even be able take full advantage of teirtalent. 10
- 11. “Data Show that ’Buying Time’ Is the right way can be a terrific investment. 1111
- 12. Presented By Prince Barai Data Analyst Intern at IIM, Lucknow 12