It's fun to work in a company where people truly BELIEVE in what they're doing !
Essential Job Functions
Process and Project Management - Extract data from multiple sources (brand transaction data, credit transaction data, care center data, digital data, etc.) , conduct exploratory data analysis, and address common data issues like missing and extreme values. Perform data mining and exploratory data analysis on large-scale customer, retail and credit transaction data, and assist in third-party data enhancement initiatives. Use advanced analytics to assess portfolio performance, identify business opportunities , d erive customer insights , develop optimal marketing campaign strategy to address business needs and improve campaign effectiveness . Translate business problems into statistical problems or mathematical problems. Develop machine learning models to drive business decision and optimize return on investment. Values strategic communication and the importance of building consensus.
Documentation - Follow model governance procedure that includes but not limited to saving the original model training datasets, creating model documentation, and completing tests when required or requested. Lead and complete large complex modeling project end to end, document modeling process and results, develop presentations to summarize and communicate key findings to both internal and external partners.
Design and Develop- Design data-driven marketing initiatives to manage customer relationship, drive sales, enhance executions, and increase productivity. Derive customer insights through predictive modeling to address business needs, and recommend solutions. Collaborate with other internal groups to understand business needs and develop cutting edge predictive analytical solutions. Conduct research to continuously improve predictive model ing methodology to achieve better outcomes . Business acumen through demonstrated knowledge of credit card operations, banking, financial, loyalty rewards, retail, and credit card regulations.
Distinctions (if applica ble):
Reports to: Senior Mana ger, Manager, or Data Scientist
Working Conditions/ Physical Requirements : Normal office environment, some travel may be required.
Direct Reports :
Minimum Qualifications :
Master degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, Economics, or other quantitative fields
A minimum of 1-year professional hands-on experience using SAS, R, Python or other data science tools to manipulate large-scale data and conduct statistical analysis
PhD degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, Economics , or other quantitative fields
Five or more years of professional hands-on experience in building sophisticated models to address business problems via machine learning models, segmentation, time series and other advanced analytics methodologies in bank card or credit card business, consulting, retail, marketing, loyalty, and/or financial services.
Job Family:Data and Analytics