Über
Amazon is a leading technology company seeking a Data Scientist II to join their NAS Shop and Keep (SHAKE) organization. The role involves utilizing statistical analysis and machine learning to solve complex customer-facing problems, improve recommendation systems, and enhance customer experience.
Responsibilities : • You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. • Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product. • You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns. • You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders. • You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders. • You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
Qualifications : Required : • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience • 2+ years of data scientist experience • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • Experience applying theoretical models in an applied environment • Bachelors degree
Preferred : • Experience in Python, Perl, or another scripting language • Experience in a ML or data scientist role with a large technology company • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
Company :
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.
Sprachkenntnisse
- English
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