As a Research Analyst youll collaborate with experts to develop advance machine learning solutions for business needs. Youll drive product pilots demonstrating innovative thinking and customer focus. Youll build scalable solutions write highquality code and develop stateoftheart ML models. Youll coordinate between science and software teams optimizing solutions. The role requires thriving in ambiguous fastpaced environments and working independently with ML models.
Key job responsibilities
Collaborate with Applied Scientists to implement ML/LLM solutions that meet business goals
Conduct product pilots demonstrating customer obsession and innovation
Develop scalable solutions by writing highquality code building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
Act as a bridge between science and software teams to deliver optimized solutions
Communicate technical concepts to stakeholders at all levels
Develop technical documentation for Design specifications Algorithms Implementation challenges and Performance metrics
Monitor and maintain existing solutions to ensure peak performance
About the team
The Retail Business Systems (RBS) group is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best catalog quality wide selection supply chain defects and compliance programs. The teams primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled have a direct impact on customer buying decisions and online user experience.
Bachelors degree in Quantitative or STEM disciplines (Science Technology Engineering Mathematics)
1 years of relevant work experience in solving real world business problems using machine learning deep learning data mining and statistical algorithms
Strong handson 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.
Masters 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 Indepth understanding of machine learning concepts including developing models and tuning the hyperparameters as well as deploying models and building ML service Technical expertise experience in Data science ML and Statistics
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