American Express Data Scientist - Engineer in Jefferson City, Missouri
Data Scientist- Engineer American Express is on an exciting transformation journey driven by an energetic new team of high-performers. This group is nimble and creative with the power to shape our technology and product roadmap. If you have the talent and desire to deliver innovative data driven payment products using Data Science, Deep Learning, Machine Learning and Artificial Intelligence techniques to join our transformation team!
You will be part of a fast-paced, entrepreneurial team responsible for delivering world class Omnichannel cardmember experiences and personal integration through java services and data driven solution on Big Data stack and APIs. You will be challenged with identifying innovative and transformative ideas and proof of concept to deliver against the existing and future needs of our customers. We are looking for a Data Scientist who will support our data driven product for Digital servicing, payment products with insights gained from analyzing enterprise data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Key Responsibilities
· Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. · Mine and analyze data from enterprise databases to drive hyper personalization and new data driven product development, techniques and business strategies. · Assess the effectiveness and accuracy of new data sources and data gathering techniques. · Develop custom data models and algorithms to apply to data sets. · Use predictive modeling to increase and optimize digital customer experiences, organic revenue generation through new product recommendation and predictive analytics and other business outcomes. · Coordinate with different functional teams to implement models and monitor outcomes. · Develop processes and tools to monitor and analyze model performance and data accuracy.
Education and Qualifications · Strong problem-solving skills with an emphasis on product development. · Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. · Experience working with and creating data architectures. · Experience or awareness of web analytics using Adobe or other products to capture user behavior is a plus. · Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. · Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. · Excellent written and verbal communication skills for coordinating across teams. · A drive to learn and master new technologies and techniques. · We’re looking for someone with 2-3 years of experience manipulating data sets and building statistical models, has a Master’s or pursuing Master’s in Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: · Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. · Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. · Awareness of using RESTAPI and services · Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. · Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. · Awareness with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. · Experience visualizing/presenting data for stakeholders using: Kindo, D3, Tableau, etc. Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions. / /
Title: Data Scientist - Engineer
Location: MO-Jefferson City
Requisition ID: 18016544