NLP - Data Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

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 conversational AI data science 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 power the customer-facing Ask Amex Chatbot 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 NLP solutions, which will be used to improve customer experiences of our business product (e.g. chatbot). You will have the opportunity to apply cutting-edge algorithms (e.g. BERT) in one of the most dynamic and challenging fields in machine learning. The major responsibilities include:

• Build NLP models to deeply understand customers’ general intention as well as unique subtleties to enable personalized responses.

• Research latest NLP related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Explore rich conversation databases to discover new topics/patterns to unlock new business opportunities and drive innovation.
• 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.

Minimum Qualifications

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

• 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.

“Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.”

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

ReqID: 21010813

Schedule (Full-Time/Part-Time): Full-time

Date Posted: May 11, 2021, 1:40:10 PM