Manager-Data Science
Skills
About the role
Functional Description:
This position is in the Global Commercial Marketing Decision Science Team supporting the Global Commercial Services (GCS) Analytics & Investment Team. The position focuses on developing next-generation decision science solutions for customer acquisition and marketing optimization use cases across Global Commercial Services. Leveraging advanced machine learning techniques, customer analytics, and deep business insights, this role is responsible for driving innovative targeting solutions that improve customer engagement and acquisition outcomes.
As a leader of a high-performing team of technical and data science professionals (team size: 2-3), this role is responsible for advancing customer targeting strategies through predictive modeling, customer profile analytics, and next-generation decision science capabilities. A key focus of the role is the development, enhancement, deployment, and governance of the GCS Real Time P(Click) and P(Convert) model and associated customer-level marketing intelligence capabilities that support MYCA & web PZN acquisition strategies. The role also drives the adoption of advanced analytics and AI-powered solutions to improve targeting precision and marketing effectiveness.
Operating in a highly collaborative environment, this position requires strong partnership with and influence across stakeholders in Global Commercial Services, Marketing, Product, Technology, and Global Decision Science teams.
Postgraduate (M.Tech / MBA / M. Stats / MA Economics) with 3+ years of work experience in similar decision science and/or analytics role with financial or related industry
Demonstrated ability to lead and inspire a team of highly skilled analysts in developing information-driven solutions for our customers
Experience working in highly cross-functional environment, flexibility and adaptability to work with tight deadlines and changing priorities
Demonstrated ability to apply cutting edge statistical techniques to solve business problems
Ability to understand data, synthesize into real-world meaning, break down business problems, and conduct brainstorming
Good working knowledge of data mining techniques and open-source machine Learning algorithms
Relevant statistical analysis/econometric experience required and able to effectively translate analytical findings to business implications
Excellent communications skills written and oral
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
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
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
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