Amazon Business Research Analyst 

China, Jilin, Dehui City 

301708343

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.

- 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.

- 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