The introduction of Generative AI (GenAI) has significantly impacted data science, offering powerful tools that enhance project outcomes through automated analysis, decision support, and personalized guidance. This study investigates the features of GenAI-powered tools designed to support both individuals and teams in data science projects. Using a qualitative approach, this study identifies essential features for supporting individuals and project teams. Key findings suggest that GenAI tools should include tailored learning aids, automated data processing capabilities, and collaborative project management features that facilitate workflow efficiency. For tool features, teams prioritize resource sharing and collaborative progress, while individuals focus on personalized support and timeline management. The study also emphasizes the advantages of domain-specific GenAI tools, offering project-specific guidance and management that surpass the capabilities of generalized solutions.

The widespread adoption of generative AI tools, such as ChatGPT, has resulted in its extensive use in a broad range of situations. However, language models often generate inaccurate or misleading responses, negatively impacting its use. Developing domain-specific bots for specific work situations could enhance accuracy and robustness, enabling more effective use of Generative AI in a work context. To help explore this possibility, we developed a data science process-expert generative AI assistant (bot) and evaluated its efficacy. We observed that the bot significantly improved efficiency, guided the exploration of new concepts within data science project management, and fostered creativity. Moreover, the constant availability of the bot allowed access to expertise whenever needed. Furthermore, responses indicated people viewed the bot as a collaborative tool that enabled communication and comprehension of complex questions. In addition, a Likert-scale analysis showed that the bot has the potential to impact the data science field positively. In summary, this research underscores the value of domain-specific bots and the potential impact on data science project management, as well as in other domains.