Job Responsibilities: Data Scientist 

Salary: $20-$30/Hour

Company: American Express

Location: Bismarck, USA

Educational Requirements:  Bachelor’s Degree

You Lead the way. We’ve got Your back.

With the right backing, human beings and organizations have the strength to develop remarkable methods. While you be a part of group Amex, you grow to be part of a worldwide and diverse community of comrades with an unwavering commitment to back our clients, communities, and every different. Here, you’ll research and develop as we help you create a career journey that’s specific and significant to you with blessings, programs, and versatility that help you individually and professionally.

At American specific, you’ll be recognized for your contributions, management, and effect—each colleague has the opportunity to share in the agency’s achievement. Together, we’ll win as a crew, striving to uphold our organization's values and powerful backing promise to offer the arena’s satisfactory consumer revel every day. And we’ll do it with the maximum integrity, and in surroundings wherein everybody is seen, heard, and looks like they belong.

Join group Amex and allow's lead the way together

As a logo built on going above and beyond to provide the great purchaser enjoy, having the maximum extremely good colleagues is paramount. As the face of the company, you may create advantageous interactions with our customers every day–from curating a unique journey or way of life experience to supporting them with their ordinary desires. And you may develop your abilities thru industry-main education and ongoing coaching, all whilst getting to know what it approach is to constantly set the same old for international class, purchaser-first provider.

Decision technology colleagues will function as key members of the credit and Fraud chance organization. We seek a thought chief and a hassle-solver who can combine enterprise, technical, and industry high-quality practices for developing the analyses, fashions, and algorithms that electricity our customers’ virtual studies.

This crucial group is responsible for coping with enterprise risks at some point in the customer lifecycle, across our client and industrial agencies, and across all our global products. We expand enterprise-first records abilties, build worthwhile decision-making frameworks, create gadget studying-powered predictive fashions, and improve patron servicing strategies.

Our decision technology groups use enterprise main modeling and AI practices to are expecting patron behavior. We broaden, install and validate predictive fashions and guide the use of models in monetary good judgment to allow worthwhile choices across credit score, fraud, advertising, and servicing optimization engines.

The position will entail some of the underneath listed obligations:

• Work with huge amounts of digital facts (internet, App, API) and sophisticated tools in an industry-leading huge facts environment. 
• Building NLP pushed solutions from figuring out commercial enterprise troubles to gathering education datasets to studying facts, modeling, validating, and turning in NLP fashions
• Construct the entirety from simple reviews to advanced gadget studying models and algos to power upgrades to our patron’s online and cellular app stories.
• Work with product owners to revolutionize the product and content design with a records-pushed method
• Collaborate with tech companions to test, put in force, and deploy modeling answers to manufacturing devices.
• Increase insights into client conduct and introduce new strategies to transform complicated behavioral statistics into actionable statistics
• Leverage the strength of closed loop through the Amex network to make selections greater clever and applicable
• Innovate with a focus on growing more modern and higher approaches the usage of huge facts & machine mastering answers

Qualifications:

• Masters/PhDs in a quantitative subject (pc science, records, arithmetic, Physics, Operation research and and many others.) with hands-on revel in leveraging sophisticated analytical and machine studying techniques. A Ph.D. degree with sensible reviews of NLP is a sizable plus.
• Expertise in an analytical language (Python, R, or the equal), and enjoyment with databases (Hive, square, or the equivalent). Understanding of SAS is a plus however now not required.
• Deep information of gadgets getting to know/statistical algorithms together with deep gaining knowledge of and boosting. Revel in information visualization is a plus
• Demonstrated capacity to border enterprise troubles into mathematical programming issues, leverage outside thinking and tools (from academia and/or other industries) to engineer an answer, and deliver business insights.
• Capacity to work efficaciously in a group environment
• Independent thinker who’s prepared has first-rate attention to detail and can multi-assignment
• Sturdy verbal exchange skills
• Potential to study quickly and paintings independently with sophisticated, unstructured projects
• Ability to combine with cross-useful business companions worldwide
• Talented in presentation tools, such as Excel and PowerPoint