{"id":589,"date":"2024-12-16T07:04:07","date_gmt":"2024-12-16T07:04:07","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2024\/12\/16\/capital_one_power_day_for_data_scientist\/"},"modified":"2024-12-16T07:04:07","modified_gmt":"2024-12-16T07:04:07","slug":"capital_one_power_day_for_data_scientist","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2024\/12\/16\/capital_one_power_day_for_data_scientist\/","title":{"rendered":"Capital One Power Day for Data Scientist"},"content":{"rendered":"<p>    Capital One Power Day for Data Scientist<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Hi all,<\/p>\n<p>I have an upcoming <strong>Capital One Power Day<\/strong> interview for a Data Scientist role, and I was hoping to get some insights from those who have recently gone through the process.<\/p>\n<p>The day consists of 4 rounds:<\/p>\n<ol>\n<li><strong>Stats Role Play<\/strong><\/li>\n<li><strong>Analyst Case<\/strong><\/li>\n<li><strong>Technical Interview<\/strong><\/li>\n<li><strong>Job Fit<\/strong><\/li>\n<\/ol>\n<p>I\u2019m particularly curious about:<\/p>\n<ul>\n<li>\n<strong>Technical Interview<\/strong>: I\u2019ve heard this round has become more hands-on, and it might include coding. Can anyone clarify what to expect here? Will it involve <strong>SQL, Python, or data science concepts<\/strong>? Is it like a live coding round or more of a whiteboard discussion?<\/li>\n<li>\n<strong>Stats Role Play<\/strong>: What kinds of questions come up in this round? Are they conceptual (e.g., hypothesis testing, p-values) or applied (e.g., real-world problem-solving)?<\/li>\n<li>\n<strong>Analyst Case<\/strong>: Any tips on preparing for this? Should I expect A\/B testing, metrics calculations, or broader business problem discussions?<\/li>\n<\/ul>\n<p>Any advice, resources, or experiences would be super helpful! Thanks so much in advance!<\/p>\n<\/p><\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Ordinary-Secret7623\"> \/u\/Ordinary-Secret7623 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1hevjxw\/capital_one_power_day_for_data_scientist\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1hevjxw\/capital_one_power_day_for_data_scientist\/\">[comments]<\/a><\/span>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    \/u\/Ordinary-Secret7623<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1hevjxw\/capital_one_power_day_for_data_scientist\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Capital One Power Day for Data Scientist Hi all, I have an upcoming Capital One Power Day interview for a Data Scientist role, and I was hoping to get some insights from those who have recently gone through the process. The day consists of 4 rounds: Stats Role Play Analyst Case Technical Interview Job Fit [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,99],"tags":[710,84,709],"class_list":["post-589","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-datascience","tag-capital","tag-data","tag-day"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/589"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=589"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/589\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=589"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=589"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=589"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}