Data Scientist - NLP

Key Skills

Python Programming, SQL, Natural Language Processing (NLP), Algorithms, Econometrics, Statistical modeling, Decision Science

Job Description

You Lead the Way. We’ve Got Your Back.

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.

The service modeling team in the Amex AI Labs organization is looking to hire an NLP (Natural Language Processing) data scientist. The major focus of this role is on building machine learning solutions to advance enterprise customer service automation and other NLP oriented use cases across the company. We are looking for candidates who have extensive knowledge and practical experiences in statistical modeling, machine learning and programming, and possess great passions for research and innovation. Candidates with practical NLP modeling experiences are strongly preferred.

AI Labs is a dynamic and rewarding workplace which started in 2012 and is currently co-located in New York and India and is comprised of dynamic and talented researchers with Ph.D. or Master’s degree from top tier institutes having expertise in AI/ML technologies. AI Labs vision is to be an enabler of AI/ML across the company, by creating and managing novel and effective AI and ML capabilities and solutions.

What type of work will I do?

• You will be working with a group of enthusiastic data scientists/machine learning researchers to develop end-to-end machine learning solutions, which will be used to advance enterprise automation for customer services. You will have the opportunity to apply cutting-edge algorithms in one of the most dynamic and challenging fields in machine learning. The major responsibilities include:
• Build NLP/Machine Learning models to advance automation in enterprise applications for customer service.
• Research latest NLP related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Build NLP driven solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering NLP models
• Work with product owners to revolutionize the product and content design with a data-driven approach.
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Proactively communicate key issues and any other critical topics in a timely manner to the appropriate management level, team members and partners.

How can I be qualified for this role?

Self-driven, persistent and team-playing. We are looking for candidates who have true passion in data science, machine learning and NLP, can consistently try out new ideas, and embrace challenges, opportunities or even risks/uncertainties. Recommended qualifications can be found as follows:

Qualifications

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (Hive, SQL, or the equivalent).
• Prior experience working with TB scale datasets using Big Data tools and platforms (Spark, Hadoop, or the equivalent).
• Deep understanding of machine learning/statistical algorithms such as neural networks, boosting and reinforcement learning. Experience with data visualization is a plus.
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Team player with strong communication and leadership skills.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.