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JOB DESCRIPTION
Amazon is seeking a Data Scientist to help optimise one of the world’s most complex logistics systems. Academic and/or practical experience in the fields of Computer Science, Engineering, Operations Research, or Process Control are especially advantageous for this role. Additionally, experience integrating model-based engineering tools and/or doing multidisciplinary analysis and optimization is a plus.
Significant Responsibilities:
- Utilize data analysis and statistical techniques to produce solutions that enhance the customer experience and inform business decision-making.
- Identify drivers and causes of business challenges and implement novel forecasting and prediction techniques
- Develop, organise, and execute assessments to identify areas of potential and to give written business recommendations
- As a leader of quantitative analysis, you will collaborate with numerous teams to build solutions that adhere to the highest standards of analytical rigour and data integrity.
- Analyze and resolving business issues at their source
PRIMARY QUALIFICATIONS
- Pursuing a master’s degree or an equivalent advanced degree from a top-tier technology school
- Extensive knowledge of R/SAS/Matlab and SQL
- Excellent Microsoft Office Abilities, with an emphasis on Excel.
- Capacity for problem solving and an enthusiasm for large data
- Outstanding communication and presenting abilities English is fluent in both written and spoken form.
QUALIFICATIONS THAT ARE PREFERRED
- A master’s degree in computer science, computer engineering, statistics, mathematics, or a related technical subject, or an equivalent advanced degree.
- Preference will be given to those with hands-on experience and project-based learning in computer science, engineering, or mathematics.
- Academic experience with data manipulation/transformation, model selection, training, cross-validation, and large-scale deployment.
- Academic or professional experience with machine learning and deep learning toolkits such as MXNet, TensorFlow, Caffe, and PyTorch.
- Academic knowledge of big data systems such as Apache Spark and Hadoop.
- Familiarity with Python, R, and SQL data processing.
- Proficiency with AWS AI/ML services, notably Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, and Green Grass, is highly desirable.
