Analyst-Data Science

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With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
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How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.
Functional Description
This position is in the CFR Global Decision Science – Customer Marketing Decision Science & Enterprise Personalization team. This team mainly supports the Global marketing, channel & product organizations. The role will focus on coming up with cutting-edge decision science solutions to help solve for customer marketing offer targeting & personalization needs.
Purpose of the role
This position will be responsible for maintaining and enhancing our Enterprise Channel Personalization capabilities for select marketing channels within the Enterprise Personalization Data Science team. The team is responsible for optimizing the offer & communication mix to card members ensuring relevance and timeliness based on key objective functions across content types such as benefits, cross sell/upsell, non-card products, banking, servicing, etc. It is responsible for developing and implementing cutting-edge Data Science solutions to deliver on the key goals and objectives of the Enterprise in terms of personalization. The employee will have end-to-end responsibility of researching, simulating, implementing, and testing out the solutions and will have to regularly interact with key partners in Marketing, Technology, Product, Regulatory and Compliance teams. This is a fast-paced environment requiring a mix of strong relationship skills, passion for applied data science, self-leadership, and a singular focus on delivering results.
Responsibilities

• Drive billing, revenue growth and profitability through advanced analytical techniques


• Maximize business returns by institutionalizing efficient and accurate models/analytics


• Innovate Modeling and feature engineering techniques


• Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning
  

Leadership Outcomes:

• Puts enterprise thinking first, connect the role’s agenda to enterprise priorities and balances the needs of customers, partners, colleagues & shareholders.


• Leads with an external perspective, challenge status quo and bring continuous innovation to our existing offerings


• Demonstrate learning agility, make decisions quickly and with the highest level of integrity
  

Qualifications

• 0-3 years of experience in Analytics, Data Science, Machine Learning or related fields


• Engineering, MBA, Master’s Degree in Economics, Statistics or related fields From Top Tier Institutes
  

Critical Factors to Success:

• Analytical Mindset & Technical Expertise


• Team Player


• Ability & Motivation to learn new technical skillsets


• Structured Thinking


• Communication and Presentation Skills
  



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Functional Skills / Technical Skills

• Proficiency & experience in econometric, statistical, analytical and ML techniques


• Proficiency in ML languages (Python; Hive) and SAS/SQL


• Ability to drive project deliverables to achieve business results


• Ability to work effectively in a team environment


• Strong communication and interpersonal skills


• Ability to learn quickly and work independently with complex, unstructured initiatives
  

Behavioural areas

• Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective


• Bring Others with You: Build the Best Team, 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, Great Leadership Demands Courage
  

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.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.