Sydney Hazen, a Privacy Data Scientist at Ford Motor Company, shares her journey from a college intern to a full-time role. She highlights how internships can lead to job offers and the importance of real-world experience and corporate navigation. Sydney emphasizes applying technical skills with a socially conscious approach, understanding problems before diving into data, and credits her professor and diverse classmates for shaping her perspective. She plans to pursue further education and explore different roles, underscoring the unique position of women in data science and the need for self-advocacy and finding mentors.

Listen to Karin Golde, a linguistic expert and AI entrepreneur, as she discusses the rise of large language models (LLMs) and the impact of ChatGPT. Karin reflects on the unexpected popularity of LLMs and the role of OpenAI. The challenges and limitations of LLMs are discussed, including the need for human understanding emphasizing the need for diverse perspectives and cultural understanding in AI development. Karin shares her personal experience of using LLMs and highlights the importance of balancing innovation with regulation in the AI industry. Karin concludes the podcast sharing about her career journey and her recent transition to working as an independent consultant. She offers advice for women considering leadership roles and emphasizes the importance of thinking broadly about one’s place in an organization.

Margot Gerittsen speaks with Colleen Farrelly, Mathematician at Post Urban Ventures and Author of The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R. Colleen is known for network science, topological data analysis, and geometry-based machine learning. This podcast covers the challenges and rewards of interdisciplinary work and her journey in the discipline of data science.