Build A Career in Data Science | Jacqueline Nolis and Emily Robinson
Jacqueline Nolis is currently a principal data scientist at Brightloom where she creates models to help restaurants and retailers improve the customer experience. Emily Robinson is currently a senior data scientist at Warby Parker, where she works on a centralized team tackling some of the company’s biggest projects. WHAT YOU'LL LEARN [00:10:42] The three types of data scientists [00:13:09] How to make an effective analysis [00:16:08] How to convert a business problem into a data science problem [00:19:39] What the heck is deploying a model into production mean anyways? [00:29:57] Who are the various types of stakeholders that we may encounter in our data science career and what do they care about? [00:37:56] How to build a data science practice as the first data scientist FIND JACQUELINE ONLINE Website: https://jnolis.com/ LinkedIn: https://www.linkedin.com/in/jnolis/ Twitter: https://twitter.com/skyetetra GitHub: https://github.com/jnolis FIND EMILY ONLINE Website: https://hookedondata.org/ LinkedIn: https://www.linkedin.com/in/robinsones/ GitHub: https://github.com/robinsones SHOW NOTES [00:01:46] Guest introduction [00:03:15] The path into data science [00:04:58] How they met [00:05:37] Challenges of working on a book online and across time zones [00:07:50] Silly frustrations while writing the book [00:10:42] The three types of data scientists [00:13:09] How to make an effective analysis [00:14:29] Good versus bad analysis [00:15:21] How are the types of analysis different for the different types of data scientists? [00:16:08] How to convert a business problem into a data science problem [00:18:15] What to think about before diving into data and coding [00:19:39] What the heck is deploying a model into production mean anyways? [00:22:05] An illustrative example of putting a model into production [00:23:50] How to keep a model running in production [00:25:17] At what point do we retrain the model? [00:28:36] How to handle interview questions about deploying a model to production [00:29:57] Who are the various types of stakeholders that we may encounter in our data science career and what do they care about? [00:31:49] Tailor your communication to your audience [00:33:10] How to decide which projects to take on at work [00:35:41] How to establish a data culture when you’re the first data scientist in an organization [00:37:56] How to build a data science practice as the first data scientist [00:41:11] Non-technical skills for success [00:43:34] Is data science an art or science? [00:46:43] The creative process in data science [00:48:26] Advice for women in data science [00:51:51] How to promote diversity and inclusion in data science [00:54:50] What's the one thing you want people to learn from your story? [00:57:47] The lightning round Special Guests: Emily Robinson and Jacqueline Nolis.
