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The many hats of data science
The path to data science-led insights seems to be paved with code development that can take up more time. Join this panel to explore how data scientists can improve their days towards more discovery.
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Discussion triggers
- What is the ideal work composition of a typical day for data scientists?
- Why have many data scientists found themselves writing code?
- How is business value from data science best served?
- Which elements in your personal work composition do you find most rewarding, and why?
- What is your advise for team leaders to improve job satisfaction (and retain) their top data science talent?
Meet the panel
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David Weik
Solutions Architect, SASTwitter: @weik_david
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Dwijendra Dwivedi
Head of AI & IoT EMEA team, SASTwitter: @dwijnath
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Haidar Altaie
Data Scientist | Customer Advisor, SASTwitter: @haaltaie
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Harry Snart
Public Sector Customer Advisory, SASTwitter: @HarrySnart
Past panel discussions on topic
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Skills governance in the modern analytics capability
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Designing better data science careers
Since its origins in statistics, the scope of data science as a profession has expanded in leaps and bounds. Hear from our panel about exciting changes ahead for progressive data scientists.
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Data science talent strategies in the era of the great resignation
Data science work and its professionals are accustomed to rapid changes.
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Barriers to Analytics Adoption
All organizations want to make better decisions, drive value, and be more resilient. But many are struggling to adopt the technologies that will help them reach their goals.
More ideas about data science work profiles
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How Continued Learning Can Help Data Scientists Solve IndustrySpecific Challenges
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