What does a healthy organization look like in Amazon? With the growing workforce, are we facilitating the right conversations on performance and talent management? What trends are we seeing in our employee and candidate data and what can managers do about it? What data and insights do our customers (business leaders, people managers, HR, Recruiting) need to enhance their ability to deliver results and improve the employee experience? If these challenges sound interesting to you, you want to be a part of building a ‘first of its kind’ product, and you are passionate about data, consider the Consumer People Analytics (CPA) team. As a Data Scientist on the CPA team, you will partner closely with Consumer’s global talent management team on the auto-surfacing and promotion heuristics projects. You will build machine learning and statistical models, using our world class data systems, to identify patterns in people data. The ideal candidate will thrive and have demonstrated success in an environment
Basic Qualifications · Masters with two years of experience or a Bachelors with five years of experience in the field of organizational psychology, I/O psychology, statistics, computer science, engineering, mathematics, or a related field. · Experience in SQL, R, Python, or another scripting language; command line usage; experience in Java. · Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis. · Knowledge of various machine learning techniques and key parameters that affect their performance. · Excellent written and verbal communication skills