<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/7963a6e36b094cb4b6c890771dc98b6b&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7963a6e36b094cb4b6c890771dc98b6b-00001.gif</thumbnail_url><duration>376.90000000000066</duration><title>Data Scientist Job Post: Analyzing Amazon and Walmart Sales Data</title><description>In this video, I discuss a job post for a data scientist position. The primary goal is to analyze the data set of Amazon products and create a Python sales estimator tool. We want to determine if the data points we have are viable for creating an accurate sales estimator tool for Amazon in the short term. In the long term, we aim to expand the tool to include Walmart products. The dataset includes general product information and detailed sales data. I also outline the primary responsibilities, desired skills, and the potential for developing an action-oriented sales estimation model.</description></oembed>