Emily Robinson

Jacqueline Nolis, a principal data scientist at Brightloom, and Emily Robinson, a senior data scientist at Warby Parker, dive into the world of data science careers. They discuss the three types of data scientists and how to transform business problems into data challenges. The duo also tackles effective analysis strategies, transitioning models into production, and the importance of clear communication with stakeholders. Their journey co-authoring a data science book highlights collaboration, inclusivity, and the significance of foundational data engineering.

Emily Robinson, a Senior Data Scientist at Warby Parker and co-author of 'Build a Career in Data Science', shares her expertise on optimizing the job search in data science. She discusses crafting resumes and cover letters that stand out, along with recognizing fair compensation for roles. Emily also highlights the importance of networking and adapting to various career paths, whether in startups or large firms. Her insights into navigating failures and the significance of communication in data-driven environments are invaluable for budding data scientists.

Skipper Seabold, Director of Data Science at Civis Analytics and statsmodels creator, and Emily Robinson, an expert in A/B testing, delve into the credibility crisis plaguing data science. They discuss mismatched expectations across industries and the risks this poses to the labor market. The conversation highlights the importance of robust methodologies, effective communication with stakeholders, and the vital role of randomized control trials. Listeners gain insights into improving the integrity of data science and setting realistic goals in experimentation.