Experienced Manager of Data Science and Analytics for American Express - Leading Data-Driven Decision Making and Innovation in the Financial Services Industry

Introduction to American Express and the Role American Express is a global leader in the financial services industry, known for its commitment to excellence and customer satisfaction. As a company that continually strives to innovate and improve, we are seeking an experienced Manager of Data Science and Analytics to join our team. This role will be instrumental in driving data-driven decision making and innovation across the organization, leveraging large datasets and industry-leading modeling and AI practices to predict customer behavior and optimize business outcomes. Job Summary The Manager of Data Science and Analytics will be a critical member of the Credit and Fraud Risk organization, responsible for developing and implementing investigations, models, and algorithms that power our customers' digital experiences. This role will involve working with large amounts of digital data, modern tools, and industry-leading big data environments to drive business insights and recommendations. The successful candidate will have a strong background in quantitative fields, such as computer science, statistics, or physics, and experience with modern scientific and AI techniques. Key Responsibilities Work with large amounts of digital data (Web, Application, API) and modern tools in an industry-leading big data environment Build NLP-driven solutions from identifying business problems to gathering training datasets, analyzing data, modeling, validating, and deploying NLP models Build everything from basic reports to advanced AI models and algos to drive improvements to our customers' online and mobile application experiences Collaborate with product owners to inform product and content design with a data-driven approach Work with tech partners to test, implement, and deploy modeling solutions to production systems Form insights into customer behavior and introduce new approaches to turn complex social data into meaningful information Leverage the power of closed-loop feedback through the Amex network to make more informed and relevant decisions Optimize with a focus on developing fresher and better methodologies using big data and AI solutions Essential Qualifications Master's or PhD in a quantitative field (Computer Science, Statistics, Science, Physics, Operations Research, etc.) with hands-on experience using modern scientific and AI techniques PhD degree with practical experience in NLP is a significant plus Proficiency in a scientific language (Python, R, or equivalent), and experience with databases (Hive, SQL, or equivalent) Deep understanding of machine learning/statistical algorithms like deep learning and reinforcement learning Experience with data visualization is a plus Proven ability to approach business problems into mathematical programming problems, leverage outside thinking and tools (from academia or other industries) to design a solution, and deliver business insights Preferred Qualifications Experience working in a team environment with cross-functional colleagues around the world Independent thinker who is organized, has great attention to detail, and can multitask Strong interpersonal skills Ability to adapt quickly and work independently with complex, unstructured projects Proficient in presentation tools, including Excel and PowerPoint Career Growth Opportunities and Learning Benefits At American Express, we are committed to the growth and development of our employees. As a Manager of Data Science and Analytics, you will have the opportunity to work with industry-leading technologies and tools, collaborate with cross-functional teams, and develop your skills in data science and analytics. You will also have access to training and development programs, mentorship, and opportunities for career advancement. Work Environment and Company Culture American Express is a dynamic and inclusive workplace that values diversity, equity, and inclusion. We are committed to creating a work environment that is collaborative, innovative, and supportive of our employees' well-being and success. Our company culture is built on a foundation of respect, trust, and open communication, and we strive to create a workplace where everyone feels valued, heard, and empowered to contribute their best work. Compensation, Perks, and Benefits We offer a competitive salary range of $20-30 per hour, as well as a comprehensive benefits package that includes health insurance, retirement savings, and paid time off. We also offer a range of perks and discounts, including access to exclusive events, travel discounts, and employee recognition programs. Conclusion If you are a motivated and experienced data science professional looking for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Manager of Data Science and Analytics at American Express, you will have the chance to work with large datasets, industry-leading technologies, and cross-functional teams to drive business insights and innovation. Don't miss this opportunity to join our team and contribute to the success of our company. Apply now and take the first step towards a rewarding and challenging career with American Express.