Business Intelligence Engineer I

Join an innovative team of scientists at Amazon Alliance utilizing machine learning and statistical techniques to create state-of-the-art solutions that enhance customer value. You will have the opportunity to build and deploy advanced ML systems to optimize millions of daily transactions and solve real-world problems by analyzing terabytes of data. This role involves owning end-to-end business problems and metrics, directly impacting company profitability, and fostering innovation and simplification. The Machine Learning team for India Consumer Businesses is seeking individuals excited by these challenges.

Machine learning, big data, and quantitative sciences are fundamental to Amazon's strategy. Amazon has led innovation in recommendation engines, e-commerce fraud detection, and large-scale fulfillment center optimization. As Amazon grows, the opportunities for applying machine learning are exploding, addressing practical problems that significantly improve customer experience, reduce costs, and drive speed and automation. This includes enhancing product recommendations, safeguarding financial transactions through risk modeling, improving catalog quality by extracting product attributes from structured and unstructured data, and enhancing address quality with customer suggestions.

We are developing cutting-edge machine learning solutions to accelerate Amazon India's growth. Amazon India offers a dynamic environment for machine learning practitioners, combining the agility of a startup with the scale of a mature firm. As part of the India Machine Learning team, you will collaborate with brilliant minds on real-world ML problems impacting millions of customers. We encourage thought leadership and 'blue ocean' thinking in ML.

Key Job Responsibilities:

As a Business Intelligence Engineer (BIE) within the International Machine Learning (INML) team, you will build and operate data systems that support one of the world's most complex and rapidly scaling supply chains. You will work extensively with large-scale distributed datasets and AWS technologies such as Redshift. Collaboration with cross-functional teams will be crucial to ensure data accuracy, timeliness, compliance, and readiness for high-impact decision-making across Amazon Business.

About The Team:

The International Machine Learning Team focuses on developing novel ML solutions tailored for India and other emerging markets in MENA and Latin America, directly impacting the top and bottom lines of these businesses. Learn more about our team's innovations from https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwide.

Basic Qualifications:

• Minimum of 2 years of experience in analyzing and interpreting data using tools like Redshift, Oracle, or NoSQL.
• Proficiency in data visualization using Tableau, Quicksight, or similar platforms.
• Experience with industry analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g., t-test, Chi-squared).
• Experience with at least one scripting language such as Python, Java, or R.

Preferred Qualifications:

• Master's degree or an advanced technical degree.
• Solid understanding of data modeling and data pipeline design.
• Experience with statistical analysis and correlation analysis.

Amazon fosters an inclusive culture, empowering employees to deliver exceptional results. For workplace accommodations during the application or hiring process, including interview or onboarding support, please visit https://amazon.jobs/content/en/how-we-hire/accommodations. For regions not listed, contact your Recruiting Partner.

Company - ADCI - Karnataka

Job ID: A10399284