Data Scientist

Requirements:

• Master’s degree (Ph.D. preferred) in a quantitative discipline, with coursework in statistics, econometrics, or a related field.
• 3+ years of advanced analytics experience focused on improving core business metrics  extra points for work focused on customer satisfaction and engagement and/or product quality.
• Eighteen months of practical experience building a variety of predictive/machine learning/statistical models and tools from complex, specialized, or large data pools; familiarity with the logic of credit scoring would also be helpful.
• Experience with one or more structured programming languages for statistical and/or numeric computing.
• Demonstrated competence with one or more of logistic regression, generalized linear models, or categorical data analysis and multiple machine learning approaches.

Key Skills:

• Programming. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.