The point where experts and best companies meet
Share
Key job responsibilities
• Develop machine learning models, run A/B experiments, and perform statistical analysis to provide insights that drive business objectives.
• Collaborate with cross-functional teams, including product managers, engineers, and more experienced applied scientists, to identify high-impact areas for innovation.
• Proactively seek to identify business opportunities and insights and provide solutions to automate and optimize key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.
• Establish scalable, efficient, and automated processes for large-scale data analysis, model development, validation, and deployment.
• Analyze and extract relevant insights from large datasets using a variety of techniques, including machine learning, data mining, and statistical analysis.A day in the life
- Master's degree in a quantitative field such as computer science, mathematics, statistics, machine learning, or an equivalent quantitative field, or Bachelor's degree and 2+ years of relevant experience.
- Experience with coding in Python or any relevant scripting language.
- Apply off-the-shelf algorithms to well-defined problems, and eager to learn new techniques.
- Experience in applying machine learning solutions to real world problem statements.
- Basic understanding of any one of the following- large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks.
These jobs might be a good fit