American Express Careers

Data Scientist - Global Capacity & Contact Management

Gurgaon, India
Technology

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Job Description

Why American Express?
There’s a difference between having a job and making a difference.

American Express has been making a difference in people’s lives for over 160 years,
backing them in moments big and small, granting access, tools, and resources to take
on their biggest challenges and reap the greatest rewards.

We’ve also made a difference in the lives of our people, providing a culture of learning
and collaboration, and helping them with what they need to succeed and thrive. We
have their backs as they grow their skills, conquer new challenges, or even take time to
spend with their family or community. And when they’re ready to take on a new career
path, we’re right there with them, giving them the guidance and momentum into the
best future they envision.

Because we believe that the best way to back our customers is to back our people.

The powerful backing of American Express.
Don’t make a difference without it.
Don’t live life without it.


Function Description:
As a Data Scientist, you will be part of a team responsible for development and execution of world class forecasting and planning models. These techniques will be accomplished with regular utilization of decision science, as well as analyzing and communicating various demand components while partnering to identify optimization opportunities.
The Data Scientist must demonstrate outstanding thought leadership, collaboration and partnership with multiple functional teams including; Risk Management, Finance, Operations, MIS, Contact & Capacity Management and Technology partners while effectively supporting long and short term forecasting accuracy, and day to day oversight of the global demand environment.


Purpose of the Role:

Develop next generation algorithms in the areas of Machine Learning/Natural Language Processing/Deep Learning to aid solutions to complex business problems for American Express

Responsibilites:
Capacity Management and Technology partners while effectively supporting long and short term forecasting accuracy, and day to day oversight of the global demand environment.
Apply AI/ML experience & expertise to solve complex problems to multiple areas across Global Services Group, including but not limited to Global Credit, New Accounts and Fraud Network.
Leverage existing and identify new data sources to perform complex modeling and decomposition strategies to generate insights and influence stakeholders



Qualifications


Critical Factors to Success:
As a Data Scientist, you will be part of a team responsible for development and execution of world class forecasting and planning models. These techniques will be accomplished with regular utilization of decision science, as well as analyzing and communicating various demand components while partnering to identify optimization opportunities.
The Data Scientist must demonstrate outstanding thought leadership, collaboration and partnership with multiple functional teams including; Risk Management, Finance, Operations, MIS, Contact & Capacity Management and Technology partners while effectively supporting long and short term forecasting accuracy, and day to day oversight of the global demand environment.
Apply AI/ML experience & expertise to solve complex problems to multiple areas across Global Services Group, including but not limited to Global Credit, New Accounts and Fraud Network.
Leverage existing and identify new data sources to perform complex modeling and decomposition strategies to generate insights and influence stakeholders
Develop, interrogate and validate data modeling inputs and outputs
Manage in a Global 24x7 environment with the potential for planning and executing in crisis/contingency plan scenarios
Establish and maintain strong relationships with Business partners, ensuring regular communication and insights on Plan execution
Manage relationships with diverse, cross-functional and remotely located teams to successfully achieve goals

Past Experience:
Strong working knowledge of forecasting and planning models/methodologies
Demonstrated thought leadership along with strong analytical and problem solving skills with high degree of finance acumen and/or mathematical aptitude

Academic Background:
Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related field


Functional Skills/Capabilities:
Strong working knowledge of forecasting and planning models/methodologies
Demonstrated thought leadership along with strong analytical and problem solving skills with high degree of finance acumen and/or mathematical aptitude
Demonstrated experience driving results in matrixed and global organization
At least 2 years’ experience supporting reporting and analytics
Strong understanding of contact center management a plus

Technical Skills/Capabilities:
Demonstrated applied experience with R, Python, SQL or SAS programming is required
Demonstrated ability to synthesize large data sets into actionable insights
Proven track record of working on different Machine Learning projects; high positions in Kaggle and other Machine Learning competitions are preferred
Leveraging structured and unstructured data
Statistical modeling and forecasting, and application of quantitative and research methods are required

Knowledge of Platforms:
Big Data

Behavioral Skills/Capabilities:
Enterprise Leadership Behaviors
• Set The Agenda: Put Enterprise Thinking First, Lead with an External Perspective
• Bring Others With You: Seek & Provide Coaching Feedback, Make Collaboration Essential
• Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values  






ReqID: 19016630
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Sep 11, 2019, 4:36:00 AM
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