211: From Classroom to Data Science: Career Advice and AI Trends with Angelica ‘Jelly’ Spratley
Oct 16, 2024
auto_awesome
Angelica 'Jelly' Spratley is a Senior Data Science Instructor at Flatiron School, with a background in data consulting for higher education and pharmaceuticals. In this conversation, she delves into her transition from teaching to data science, emphasizing lifelong learning and the importance of industry-ready skills. She discusses navigating the shift between technical and managerial roles, fostering data literacy, and tailoring education to diverse backgrounds. Jelly also shares insights on remote work dynamics and collaboration in AI safety, blending practical advice with personal experiences.
Angelica Spratley emphasizes the necessity of practical, project-based learning to bridge the gap between academic theory and industry demands.
Concerns regarding AI's impact on jobs are addressed, highlighting the continued value of human oversight and ethical considerations in data science careers.
Deep dives
Angelica Jelly Spratley's Background in Data Science
Angelica Jelly Spratley transitioned from being a high school engineering teacher to a role in data science, where she has become a senior data science instructor and content developer at Flatiron School. She has extensive experience working as a data consultant in the higher education and pharmaceutical industries, which enriches her teaching approach. Jelly emphasizes the importance of practical, hands-on experiences for her students, ensuring that courses are tailored to meet industry demands rather than just theoretical knowledge. Her journey illustrates the versatility of backgrounds that can lead into data science, encouraging others to consider similar paths.
Insights from the Disney Data and Analytics Conference
The Disney Data and Analytics Conference showcases the integration of data science with entertainment, featuring industry leaders like NVIDIA and Disney itself as speakers. This annual conference provides attendees with a mix of technical insights and engaging experiences, including hands-on AI demonstrations and performances by Broadway singers. Jelly noted the importance of bridging the gap between technical presentations and practical applications in the academic setting, highlighting her favorite discussions on AI's role in academia. The event not only emphasizes advancements in technology but also encapsulates the fun and creativity inherent in the data industry.
The Importance of Industry-Ready Data Professionals
Jelly advocates for project-based learning as a vital component of preparing students for real-world data science roles. Industry-ready professionals should not just memorize concepts; they must understand how to apply those concepts in practice, such as conducting A/B testing and deriving business value from data projects. By emphasizing collaborative projects and teamwork, Jelly aims to break the stereotype of data science being a solitary profession. Her approach encourages students to engage with communities and tackle real business problems, ultimately preparing them for successful careers in the data field.
Navigating the Evolving Landscape of AI and Remote Work
Concerns about AI replacing jobs are prevalent among individuals considering careers in data science, yet Jelly reassures them of the continued necessity for human oversight and involvement in AI applications. She highlights how professionals can remain valuable by learning how to navigate biases, governance, and the ethical implications of AI technologies. Additionally, Jelly notes the shift towards remote work and the increasing demand for remote positions, emphasizing the importance of effectively demonstrating value and productivity in remote settings. As data roles evolve, the ability to synthesize technical skills with strong communication and project management will be essential for success.
Managing Projects with Non-Technical Stakeholders (21:35)
Transitioning from Industry to Teaching (23:38)
Relating Data Science to Personal Interests (25:32)
Creating Engaging Learning Experiences (28:42)
Involvement in Data Literacy Organizations (31:09)
Addressing AI Concerns in Education (34:16)
Collaboration for AI Safety (38:22)
Remote Work Trends (41:09)
Productivity in Remote vs. Office Settings (44:11)
Final Thoughts and Takeaways (46:13)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode