The chief data scientist manages data-driven functions including overseeing data management, creating data strategy and improving data quality. They also help their organisations extract the most valuable and relevant insights from their data, leveraging data analytics and business intelligence.
The data scientist role is critical for organizations looking to extract insight from information assets for “big data” initiatives and requires a broad combination of skills that may be fulfilled better as a team.
Geoff Soon, Managing Director of South Asia, Snowflake, talks about the evolving role of data science and data scientists in organizations’ quest to better mind insights from their data.
1. What is a data scientist and where do they come from?
2. What are the top challenges data scientists face in their day-to-day work?
3. What are the key skill sets needed for today’s data scientist (technical and soft skills)?
4. Who decides what the role of a data science team is, the qualifications, etc?
5. How can a public/private partnership enable a strong pool of such talent and bridge the current gaps?
6. Should data scientists care about data privacy?
7. What is your advice to leadership about acquiring and nurturing a data science team?
