Jacqueline Nolis is currently a principal data scientist at Brightloom where she creates models to help restaurants and retailers improve the customer experienc

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 SHOW NOTES [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? [00:29:57] 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