Job Overview: We are seeking a highly skilled and detail-oriented Remote Data Entry Specialist to join our team at American Express. As a part-time remote worker, you will play a critical role in fostering predictive modeling for businesses, combining customer behaviors and data granularity. If you have a passion for data analysis and a keen eye for detail, we encourage you to apply for this exciting opportunity. Key Responsibilities: Apply statistical and econometric modeling techniques to solve business problems in the financial industry Utilize AI strategies to improve metrics and generate business insights Collaborate with finance, risk, and business teams to derive strategic insights using visualization and reporting tools Research and implement emerging technologies to ensure effective quantitative scientific methodologies and procedures to drive business objectives Requirements: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Information Systems, or a related field 3 years of experience in applying statistical and econometric modeling methods to solve business problems in the financial industry Experience with quantitative, numerical, and statistical concepts and data processing procedures, including survival analysis, linear and logistic regression, time series analysis, panel data, decision tree analysis, and multivariate distribution theory Proficiency in data visualization tools, including Tableau, and database queries, including SQL, Teradata, and HiveQL Experience with machine learning strategies, Python, R, and SAS What We Offer: Competitive salary: $19/hour Comprehensive benefits package, including medical, dental, vision, life insurance, and disability benefits 6% company match on retirement savings plan Free financial coaching and financial wellness support 20+ weeks paid parental leave for all parents, regardless of gender Free access to on-site health centers with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities How to Apply: If you are a motivated and detail-oriented individual with a passion for data analysis, please submit your application today. We value a great attitude and a willingness to learn above all, so don't worry if you don't meet every single requirement. Apply for this job