• American Express - Data Scientist - Global Capacity & Contact Management Jobs in Gurgaon,India

  • American Express
  • Save Job
  • 2 - 5 Years
  • Posted : above 1 month

Job Description:

Why American Express?

- Theres a difference between having a job and making a difference

- American Express has been making a difference in peoples 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

- Weve 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 theyre ready to take on a new career path, were 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
Dont make a difference without it
Dont live life without it

Function Description



- As a Data Scientist, you will be part of a team responsible for the 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

A) Critical Factors to Success

- As a Data Scientist, you will be part of a team responsible for the 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

B) Past Experience

- Strong working knowledge of forecasting and planning models/methodologies

- Demonstrated thought leadership along with strong analytical and problem-solving skills with a high degree of financial acumen and/or mathematical aptitude

C) Academic Background Bachelors degree or equivalent in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related field

D) Functional Skills/Capabilities

- Strong working knowledge of forecasting and planning models/methodologies

- Demonstrated thought leadership along with strong analytical and problem-solving skills with a high degree of financial acumen and/or mathematical aptitude

- Demonstrated experience driving results in a matrixed and global organization

- At least 2 years of experience supporting reporting and analytics

- Strong understanding of contact center management a plus

E) 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

F) Knowledge of Platforms Big Data

G) 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

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Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 11th Mar 2020

Key Skills:

Company Profile:

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