American Express is hiring for the position of Analyst – Data Science in Gurgaon; Bengaluru, India. Candidates with Undergraduate / Master’s Degree/ MBA are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | American Express |
| Position | Analyst – Data Science |
| Qualifications | Undergraduate / Master’s Degree/ MBA |
| Batch | 2019/ 2020/ 2021/ 2022/ 2023/ 2024 |
| Experience | Freshers/ Experienced |
| Location | Gurgaon; Bengaluru, India (Hybrid) |
Key Responsibilities:
- Define and articulate the long-term AI product strategy and roadmap, with clearly defined business metrics and desired outcomes.
- Solve complex business challenges by prioritizing and owning products and solutions to achieve business objectives.
- Manage and prioritize product backlogs by balancing the requirements of stakeholders and partners, while evaluating potential features against evolving AI adoption needs.
- Contribute to the entire product lifecycle, including market research, competitive analysis, planning, positioning, roadmap development, requirements finalization, and product development.
- Translate product roadmaps into well-defined requirements and acceptance test criteria.
- Drive end-to-end development of ML/AI products in collaboration with engineers and designers, transforming MVPs into production-grade capabilities.
- Ideate and launch innovative ML/AI products and features, while promoting user adoption across Amex through innovative evangelization strategies.
- Curate and deliver technical training programs on AI, Cloud, Hive, and Spark, catering to users at beginner to advanced levels.
- Develop proof-of-concept (POC) solutions for cutting-edge AI/ML products with the potential to scale.
Eligibility Criteria:
- Strong technical expertise in AI/ML, with proficiency in Python, SQL, data analytics, and data visualization.
- Excellent quantitative, analytical, and structured problem-solving abilities.
- Familiarity with the Machine Learning Model Development Lifecycle (MDLC), including feature selection, feature engineering, ML algorithm families, optimization considerations, and challenges in model deployment and serving.
- Knowledge of Big Data platforms such as Hadoop and Spark, as well as cloud platforms like Google Cloud Platform (GCP).
- Experience in designing and building big data tools and frameworks.
- Demonstrate creativity, self-sufficiency, and strong interpersonal and collaborative skills, with experience working in global teams.
- Understanding of ML model deployment systems and processes, with foundational knowledge of model regulatory and governance policies.
- Ability to prioritize effectively, communicate clearly, and drive focus and excellence when working with strong, talented engineering, UX, and QA teams.
- Proficiency in notebook-based IDEs for AI/ML tasks, such as Jupyter and Airflow.
- Familiarity with product management tools, including Rally, Jira, and Confluence.
- Exceptional verbal and written communication skills.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Mathematics, Operations Research, or Statistics, and/or an MBA from globally reputed institutions.
About Company:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
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