Amazon.com operates in a global eCommerce environment without boundaries, and operates a diverse set of businesses, including Retail, third party marketplaces, eCommerce platforms, web services for developers.
Amazon's Global Stores (GS) provide customers access to Amazon’s worldwide selection with a localized search and browse experience, convenient local payment options, end-to-end delivery solutions and access to native customer service on the local Amazon marketplace. GS simplifies the cross-border shopping process by clearing customs on the customer’s behalf and by guaranteeing that the customer will not have to pay any additional duties and import fees beyond what is shown at checkout. RBS AGS team shares Global Store (GS)’s vision to empower customers to “Stay Local, Shop Global” with an objective to improve GS customer experience and maximize the revenue potential of GS ASINs by fixing cross-listing, Buyability, discoverability and detail page conversion defects at scale.
As a Research Analyst, you'll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML/LLM models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML/LLM models.
Key job responsibilities • Collaborate and propose best in class ML/LLM solutions for business requirements • Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap • Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques • Coordinate design efforts between Sciences and Software teams to deliver optimized solutions • Communicate technical concepts to stakeholders at all levels • Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments • Familiar with ML/LLM models and able to work independently.
Basic Qualifications
- Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline
- 1+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms
- Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
- Strong analytical thinking
- Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills
- Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations.
Preferred Qualifications
- Master's degree with specialization in ML, NLP or Computer Vision preferred
- 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis)
- Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics
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