FAQs
What is the duration of the contract for this Data Scientist position?
The position is for a 24-month contract.
What kind of environment will the Data Scientist be working in?
The Data Scientist will operate in an agile environment, collaborating on the life cycle of research, design, and model development of relevant projects.
What are the basic qualifications required for this job?
The basic qualifications include experience with data scripting languages, machine learning/statistical modeling tools, 3 years of relevant experience or a PhD with 1 year of relevant experience, an MS in a quantitative field, and experience in modeling and research design.
Is there an emphasis on diversity in the hiring process?
Yes, Amazon is an equal opportunities employer and values a diverse workforce as essential to its success.
What are the preferred qualifications for this role?
Preferred qualifications include experience in Python, Perl, or another scripting language, and experience in a machine learning or data scientist role with a large technology company.
Who will the Data Scientist be collaborating with?
The Data Scientist will work closely with other data scientists, machine learning experts, engineers, and participate in cross-disciplinary efforts with other scientists within Amazon.
What type of projects will the Data Scientist work on?
The Data Scientist will build scalable solutions and models to support business functions, including optimizing customer interactions and developing data engineering pipelines.
Does this position involve working with advanced technologies?
Yes, the role involves employing cutting-edge Data Science, machine learning, deep learning, and Natural Language Processing knowledge.
What is the mission of Audible, as mentioned in the job description?
Audible's mission is to build more equitable communities and to provide immersive, cinematic audio storytelling experiences that enrich customers' daily lives.
Is there an emphasis on creativity within the team?
Yes, Audible supports a culture of creativity and inclusion, encouraging employees to imagine and invent innovative solutions.