Stop searching for that elusive data scientist
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The document emphasizes the challenges in hiring data scientists and suggests that organizations should focus on empowering cross-functional teams rather than searching for the 'perfect' individual. It argues that building internal capabilities through teamwork can generate meaningful data-driven outcomes and enhance organizational understanding of data science. Ultimately, it advocates for a cultural shift towards data literacy within organizations as a sustainable solution to the data scientist shortage.
Stop searching for that elusive data scientist
- 1. STOP SEARCHING FOR THAT ELUSIVE DATA SCIENTIST By Michael Schrage
- 4. Stop hunting for that data science unicorn and/or silver bullet. Odds are poor that you’ll be able to find and hire really good data scientists.
- 5. THERE ARE NOT ENOUGH DATA SCIENTISTS THAT YOU NEED. SOMETIMES, ALL YOU NEED IS TO LOOK JUST AROUND YOU.Team work and peer learning is the best way to mitigate the problem of expensive data scientists.
- 6. A mediocre data scientist may be worse than none at all. Big organisations just throw money to laid-off quants of Wall Street.
- 7. Solution is.. Empower small cross- functional data-oriented teams Emphasis is on building greater data capability than better digital infrastructures The teams must be explicitly charged with delivering tangible and measurable data- driven benefits in relatively short periods of time
- 8. Data science must be a cultural value, not just a functional expertise. The goal is to make all of the organization more conversant in how to align probability, statistics, technology and business value creation.
- 9. The temporary fix of data science teaming doesn’t solve the problem, but it creates the cultural and organizational context for the necessary hires to follow.
- 10. Collective team learned from each other and sent a message to the rest of the organization that even baby steps in analytics could yield large strides in outcome
- 11. “You must cultivate internal capability, not just hire it.” People don’t need to become data scientists, but they do need to understand and appreciate key principles and practices of data science.
- 12. YES!! So are these teams ultimately a short-term fix rather than a more sustainable solution to the data scientist shortage? As mobiles have changed way of communication, Big data will change analytics opportunities at the organisation and create a pool of smart employees.
- 13. It is good to collaborate.. Better Collection Understanding of the Employees Better the opportunities to the team Better Relations between the staff. Better learned the workforce will be
- 14. It is good to collaborate.. Cost control is one of the primary objective for a firm. Using existing talent pool can significantly reduce hiring costs and high compensation to data scientists. Limited ambition could do a better job attracting credibility and support than BHAGs.(Big Hairy Audacious Goal)
- 15. Thank you.. Prepared by: Abhishek Rana