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Senior Analyst-Data Science

2 months ago

Gurugram, India AMEX Full time

You Lead the Way. Weve 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, youll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, youll be recognized for your contributions, leadership, and impactevery colleague has the opportunity to share in the companys success. Together, well win as a team, striving to uphold our and powerful backing promise to provide the worlds best customer experience every day. And well 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.

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

The AIM (Analytics, Investment & Marketing Enablement) team a part of GCS Marketing is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth.

The Analyst will be responsible for AI/ML matching framework, tech platform expertise to build the commercial prospect database & optimize usage. You will be challenged with designing and creating world class prospect marketing analytics by leveraging machine learning and advanced methodologies.

How will you make an impact in this role?

Evaluate, maintain, and continuously enhance existing AI/ML matching algorithms based on the evolving needs and data availability, while supporting development and delivery of a vision, strategy, and roadmap to achieve a next-generation matching capability. Explore the usage and implementation of data mining techniques, including regression analysis, clustering, decision trees, neural networks, and NLP solutions. Experience in deploying and managing data products and solutions across a variety of platforms and technologies such as Big Data, PySpark, Hive, Scala, Python. Bring a strong technical foundation; strong understanding coding practices, architecture, design, get under the hood of complex integrated architectures, coding systems, and interface design. Collaborate successfully with product owners, designers, and a broad set of internal technical partners (across multiple internal groups)

Minimum Qualifications

Bachelors degree in a quantitative field (e.g. Science, Engineering, Mathematics, Computer Science or Economics) 1-3 years of working experience in analytics industry Experience using SQL/HQL, and Statistical Programming (Python), Pyspark, etc. Proficiency & experience in applying cutting edge statistical and machine learning techniques (including XGBoost, Decision Trees, etc.) to business problems and leverage external thinking to develop best in class data science solutions. Strong verbal and written communication skills, with the ability to translate between various technical and non-technical audiences Excellent planning and organization skills including ability to manage inter-dependencies and execute under stringent timelines Proactive learner with the ability to quickly learn new concepts and techniques with minimal supervision

Preferred Qualifications

Advanced degree in a quantitative field (e.g. Science, Engineering, Mathematics, Computer Science or Economics). Strong knowledge and experience with Natural Language Processing (including fuzzy matching, similarity scores, etc.). Good knowledge of statistical techniques like hypothesis testing, regression, knn, ttest, chi-square test,etc. Demonstrated ability to work independently and across a matrix organization partnering with capabilities, decision sciences, technology teams and external vendors to deliver solutions at top speed. Experience with commercial data and ability to create insights and drive results.

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.