Data Science Manager

Gurugram, Haryana, India
Aug 22, 2024
Sep 10, 2025
Hybrid
Full-Time
5 Years
Job Description

As a Manager in Data Science within American Express, you will play a pivotal role in overseeing and managing model risk, with a focus on next-generation AI and machine learning models. Your responsibilities will span from ensuring model excellence and compliance to exploring innovative solutions that drive business impact.

Key Responsibilities

  1. Independent Model Oversight: Conduct independent oversight of enterprise-wide AI/ML models used in marketing, credit, fraud, and other business areas.
  2. Model Risk Management: Perform gap assessments and develop robust frameworks to enhance model risk controls and meet evolving regulatory standards.
  3. AI/ML Research: Explore AI/ML advancements and establish guidelines to address regulatory requirements, improve model quality, and drive business outcomes.
  4. Communication: Effectively communicate findings and results to partners, senior leadership, and various model committees.

Critical Success Factors

  1. Business Impact. Utilize advanced analytical techniques to drive revenue growth, improve billing efficiency, and maximize business returns through accurate and innovative models.
  2. Leadership. Demonstrate enterprise thinking, challenge the status quo, and bring continuous innovation to modeling practices. Make informed decisions with integrity and a digital mindset.
  3. Technical Excellence. Apply machine learning techniques, including supervised/unsupervised learning, neural networks, decision trees, and deep learning, to enhance model accuracy and efficiency.

Qualifications

  1. Experience. Minimum of 4 years in analytics or big data workstreams, with hands-on experience in model development or validation.
  2. Education. MBA or Master’s degree in Economics, Statistics, or a related field from a top-tier institution.
  3. Functional Skills. Strong analytical skills, project management capabilities, and experience in applying advanced statistical or quantitative techniques. Ability to communicate complex analytical results effectively.
  4. Technical Skills. Proficiency in Python and SQL. Expertise in machine learning techniques and tools such as Random Forest, Gradient Boosting, Deep Learning, and Text Mining Algorithms.
  5. Behavioral Skills. Proven ability to set strategic agendas, foster team collaboration, make timely decisions, and uphold organizational values.

Benefits

  1. Compensation. Competitive base salary and bonus incentives.
  2. Health and Wellness. Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location). Access to on-site wellness centers and confidential counseling support.
  3. Work-Life Balance. Flexible working arrangements, generous paid parental leave policies.
  4. Career Development. Opportunities for professional growth through training and development programs.

Company Culture

At American Express, we are committed to supporting our colleagues and their families with benefits and programs that promote holistic well-being. We value diversity, inclusion, and integrity in all aspects of our work.