The Data Scientist Show - Daliana Liu
Why data scientists are tired, six real data scientists' frustrations - The Data Scientist Show #089
Apr 17, 2024
Data scientist Daliana interviews 6 data scientists about their frustrations. They discuss challenges in healthcare, finance, data quality, and AI. Topics include advocating for yourself, aligning with managers, and prioritizing data quality over advanced AI techniques in the pharmaceutical industry. They also talk about navigating stakeholder requests, project challenges, communication, and career growth in the banking industry.
42:22
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Quick takeaways
- Data scientists struggle with advocating for themselves with managers and aligning with stakeholders.
- Data quality challenges in pharmaceutical industries and the perception of data science as transactional are significant frustrations for data scientists.
Deep dives
Data Scientist Meetup Highlights Challenges at Work
The episode revolves around a Data Scientist meetup where professionals openly share their work struggles. Key takeaways include discussions on advocating for oneself with managers, aligning with stakeholders, and challenges faced in pharmaceutical and finance industries. Balancing technical roles with content creation was also highlighted, emphasizing the importance of addressing basic data needs alongside advanced technologies.
