Amazon

Sr. Manager, Data Science, APP Gift Cards

Posted On

June 10, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Data Science

Apply By

July 1, 2025

Job Description

Gift Cards’ mission is to drive Amazon’s flywheel by inspiring people around the globe to gift or transact with confidence. We are looking for Sr. Manager, Data science, to transform how millions of customers discover, purchase, and share the perfect gift through data science innovation at Amazon Gift Cards. This leader leads a multi-disciplinary team driving innovation and operational excellence.

This role is pivotal to our mission, combining strategic vision, hands-on leadership, and scientific expertise. You will manage a diverse team of data scientists, business intelligence and data engineers, working collaboratively to deliver high-impact scientific solutions and scalable systems to improve customer experience and drive business growth. The role focuses on identifying and solving ambiguous, high-value problems using state-of-the-art methodologies in machine learning (ML) as well as developing self-service data platforms for internal analytics.

Key job responsibilities
• Strategic Leadership: Define and execute the scientific vision for Gift cards, aligning with the broader business goals. Drive cross-
organizational initiatives, identifying opportunities to leverage data science and advanced analytics to solve critical business challenges. Partner with senior leaders to prioritize programs and align resources with strategic objectives.
• Team Development: Hire, develop, and mentor a diverse team of scientists and engineers, fostering a culture of innovation, learning and excellence.
• Science and Innovation: Design and implement state-of-the-art ML models, analytics systems, and scalable architectures to support e-commerce. Explore novel scientific approaches and contribute to advancements in areas such as sales automation, product recommendation, pricing optimization, and customer segmentation. Stay abreast of industry developments to inspire and implement
state-of-the-art solutions, particularly in GenAI.
• Stakeholder Engagement: Represent scientific and technical initiatives to senior leadership, articulating trade-offs and driving consensus. Collaborate across geographies and functions to increase penetration of Payment Products, and leverage data to recommend deprecations or new ways of operating. Together, improving customer experience and operational scalability.
• Operational Excellence: Develop the data foundation and metrics to enhance operational transparency and decision-making.
Manage day-to-day technical operations, ensuring quality and efficiency across data pipelines, tools, and models.- Masters in Computer Science or a related field.
- 10+ years experience in machine learning, AI, or a related field.
- 7+ years of leading and managing science teams that deliver large impact.
- Proven track record of leading and managing science teams that deliver large impact.
- Expert knowledge of machine learning algorithms and techniques.
- Familiarity with large-scale data processing and storage systems.
- Excellent communication and interpersonal skills.
- Ability to work in a fast-paced, collaborative environment

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