The Data Scientist Show - Daliana Liu Why data scientists are tired, six real data scientists' frustrations - The Data Scientist Show #089
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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.
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Data Quality over Hype
- Companies should not over-prioritize hype technologies like LLMs.
- Focus on foundational data quality and pipelines for long-term success.
Prioritize Foundational Skills
- Foundational data skills remain crucial, even with specialized AI knowledge.
- Address data quality issues and collaborate with stakeholders for impactful contributions.
Protecting Your Team
- Managers should advocate for their team and protect their time.
- Learn to say no strategically to stakeholders and prioritize effectively.