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Director-Data Science

3 months ago

Gurgaon, Haryana, India American Express Full time

You Lead the Way. We've Got Your Back.

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 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.

Join Team Amex and let's lead the way together.

Director – Commercial Data Quality & Data Products Analytics

The ' Commercial Data Quality & Data Products Analytics' Team is part of the Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing, American Express.

AIM team is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) business. In this role, you will be challenged with enriching the quality of commercial data elements for usage in targeting and designing & building world class data products by using machine learning and other advanced methodologies. The person will perform data analysis, strategy, synthesize conclusions, and communicate & present recommendations to partners across Sales and marketing as well as to senior leadership. The position is part of a highly collaborative environment, interacting with and influencing partners across Global Commercial Services.

Responsibilities:

Define, Design, Create, and Implement analytical solutions on enriching data quality for usage across analytics and targeting, and creating data products across Commercial business. Build innovative data products encompassing commercial prospect and customer targeting use-cases, to drive profitable acquisition and engagement strategy (few examples of data products include - Product/Channel Propensity, Best Time to Call or Lead Quality Index (LQI), identifying commercial expense categories etc.) Work with external data vendors to evaluate external data for small businesses incl. signals, inflection points and establish the proof of concept on investing in purchasing the data to improve/enrich commercial targeting. Explore the usage and implementation of the latest big data/machine learning techniques and thoughtfully integrating traditional structured data with unstructured data to drive profitable growth in commercial acquisitions. Collaborate with Decision Science and Capabilities teams to build analytical solutions to improve coverage & accuracy of key data elements which are critical inputs into models and marketing/Sales campaigns. Develop and foster cross functional relationships with partners across American Express and external vendors to ensure project prioritization and execution.

Qualifications:

Master's Degree or MBA, in a quantitative field (e.g. Finance, Engineering, Physics, Mathematics, Computer Science or Economics) Excellent SAS/SQL Skills and experience of working with large and unstructured data. Strong programming skills (C, C++, JAVA, Python, R etc.) Strong expertise in AI and Machine Learning Excellent communication and interpersonal skills. Ability to manage several concurrent projects through collaboration across teams/geographies. Proven ability to work independently and across a matrix organization partnering with cross-functional teams and external vendors to deliver solutions with speed to market. Familiarity with recommendation systems such as collaborative filtering, k-nearest neighbors, association rules, market basket analysis, SVD (singular value decomposition), and matrix factorization methods Experience working with very large datasets using Big Data tools and platforms (Hadoop, PIG/HIVE/Mahout) Strong working knowledge of data mining techniques, including regression analysis, clustering, decision trees, neural networks, SVM (support vector machines) Proven ability to apply groundbreaking statistical techniques to business problems and to use external thinking (from academia and/or other industries)

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

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

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.