Data Science Leadership Position

2 days ago


Gurgaon, Haryana, India AMEX Full time
Job Summary

We are seeking an experienced Data Science leader to join our team. As a Data Science Manager, you will be responsible for leading the development and implementation of advanced data science solutions.

About American Express

American Express is a global service company that provides high-quality, customer-centric services to individuals, businesses, and organizations around the world. We are committed to delivering exceptional experiences through innovative products, services, and technologies.

Responsibilities
  • Lead cross-functional teams in the development and implementation of data science projects
  • Design and implement advanced data science models and algorithms to drive business growth and improvement
  • Collaborate with stakeholders to identify business needs and develop data-driven solutions
  • Analyze complex data sets to identify trends and insights that inform business decisions
Requirements

To succeed in this role, you will need:

  • Masters/PhD in a quantitative field (Statistics, Mathematics, Operation Research, Computer Science) with at least 3+ years of work experience leveraging sophisticated analytical and machine learning techniques to drive business results
  • Strong relationship building, management and influencing skills
  • Ability to manage a project, with knowledge of Agile methodologies
  • Strong quantitative skills with a solid understanding of probability and statistics
Benefits

We offer a competitive salary of $120,000 - $180,000 per year, depending on experience, plus benefits including:

  • Competitive base salaries
  • Bonus incentives
  • Support for financial-well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
What We Offer

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.



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