You are the head of analytics for an online retailer focused on athleisure and sports attire for mature women and men. The executive team of your company mirrors the customer demographic they target, and they believe that having a salesforce that reflects their targeted market segment, both in terms of demographics and athletic interest, is a critical driver of their success. Your company has seen a spike in searches for novel sports equipment inspired by the World Cup in Qatar. Your company wants to expand to capitalize on this trend, by developing new lines of clothing and gear. The executive team is excited by the potential opportunity and wants to move the company rapidly in a new direction with a new line of business.
Given the tight labor market, your company is concerned about missing the current trend by taking too much time to fill positions. The Head of HR gives you data for the company’s sales employees who have been hired within the past 3 years, including those who left the company within the past year. The data includes pre-hire resume details such as address, date of birth, hobbies and personal interest, education, technical certificates and training courses, prior sales experience in the same line of business, as well as current details, such as annual performance review results, promotion history, manager assessment of their long-term potential, sales target achievement and customer satisfaction ratings. The Head of HR asks you to develop a model to screen and predict candidates who will become successful new sales employees for the new line of business.
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