Short Description:
Join Team Amex (American Express) as a Data Science Analyst at our Gurgaon location, focusing on developing innovative fraud prevention solutions for Accertify's clients. Drive modeling innovation, elevate data science through feature engineering, and collaborate with colleagues to optimize decision-making and revenue. Minimum qualifications include 0-3 years of relevant experience and proficiency in data science and machine learning techniques.
Position Title: Data Science Analyst
Location: Gurgaon, Haryana, India
Company Overview:
Join a global and diverse community at American Express, where we are committed to empowering people and businesses for progress. As a member of Team Amex, you'll contribute to a culture of unwavering support for customers, communities, and colleagues. Enjoy a unique and meaningful career journey with personalized benefits, programs, and flexibility that cater to your personal and professional growth.
Functional Overview:
Accertify, a wholly-owned subsidiary of American Express, is a leading provider of fraud prevention, chargeback management, and payment gateway solutions for online merchants worldwide. As a part of the Accertify Fraud Decision Sciences team in CFR, this role focuses on developing industry-leading Decision Science Solutions and Data Products for Accertify's clients. The aim is to enhance the efficiency of fraud solutions, automate decisions, reduce manual reviews, and explore new revenue streams.
Responsibilities:
- Develop and deliver fraud prevention solutions for Accertify’s clients.
- Stay informed about the latest fraud trends and industry challenges faced by Accertify clients.
- Drive modeling innovation by utilizing cutting-edge machine learning/AI techniques.
- Elevate Data Science through feature engineering using diverse client data to improve model risk discrimination and economic performance.
- Collaborate with Accertify colleagues to implement models and develop capabilities for more optimal decision-making and revenue generation.
Critical Success Factors:
- Drive revenue growth and profitability through advanced analytical techniques.
- Prioritize enterprise thinking, connecting role objectives to overall priorities.
- Lead with an external perspective, challenging the status quo and bringing innovation to offerings.
- Build and nurture a high-performing team with strong ML/AI, data, and consulting skills.
- Demonstrate learning agility, making decisions quickly with the highest level of integrity.
Minimum Qualifications:
- 0-3 years of relevant experience in Analytics/Modeling/Decision Science.
- Postgraduate degree in Statistics/Mathematics/Economics/Engineering/Management.
- Proficiency in Data Science/Machine Learning/Artificial Intelligence techniques.
- Understanding of advanced statistical techniques and key model performance metrics.
- Knowledge of R, Python, PySpark, SAS, SQL, Advanced Excel, and PowerPoint.
Behavioral Skills/Capabilities:
- Strong quantitative skills with demonstrated analytical leadership.
- Ability to leverage a wide array of seemingly unstructured data attributes.
- Build trusting relationships and collaborate effectively, influencing others positively.
- Results-driven with attention to detail and the ability to manage multiple projects concurrently.
- Effective and frequent communication with clarity and candor.
- Decisive decision-making with efficiency.
Benefits and Programs:
We prioritize the holistic well-being of our colleagues and their loved ones through:
- Competitive base salaries and bonus incentives.
- Support for financial well-being and retirement.
- Comprehensive medical, dental, vision, life insurance, and disability benefits.
- Flexible working models, including hybrid, onsite, or virtual arrangements.
- Generous paid parental leave policies.
- Access to global on-site wellness centers, counseling support, and career development opportunities.
Please click here to apply.
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