NY Staffing
Senior Manager, Data Science
American Express Company seeks Senior Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity. Use machine learning techniques to improve forecasts and produce business insights. Partner across finance, risk, and business teams to derive strategic insights by leveraging visualization and reporting tools. Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals. Position requires a Master's degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or related field and 2 years of experience with applying statistical and econometric modeling techniques to solve business problems in the financial industry. Experience must include 1 year of experience with each of the following: quantitative, mathematical, and statistical concepts and data processing techniques, including survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory; researching and presenting complex statistical concepts to non-technical audiences; application of advanced predictive analytics using large volumes of customer and merchant data; database queries, including Hive, SQL, and Teradata; and AWS, EMR, Hadoop, machine learning techniques, PySpark, Python, and R. Telecommuting is available up to 2 days per week. Job Location: New York, NY Rate of Pay: $90,000.00 - $165,000.00 annually
American Express Company seeks Senior Managers, Data Science to develop predictive modeling for businesses, incorporating customer behaviors and data granularity. Use machine learning techniques to improve forecasts and produce business insights. Partner across finance, risk, and business teams to derive strategic insights by leveraging visualization and reporting tools. Research and deploy emerging technologies to ensure successful quantitative analytical approaches and techniques to advance business goals. Position requires a Master's degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or related field and 2 years of experience with applying statistical and econometric modeling techniques to solve business problems in the financial industry. Experience must include 1 year of experience with each of the following: quantitative, mathematical, and statistical concepts and data processing techniques, including survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory; researching and presenting complex statistical concepts to non-technical audiences; application of advanced predictive analytics using large volumes of customer and merchant data; database queries, including Hive, SQL, and Teradata; and AWS, EMR, Hadoop, machine learning techniques, PySpark, Python, and R. Telecommuting is available up to 2 days per week. Job Location: New York, NY Rate of Pay: $90,000.00 - $165,000.00 annually