Applied Scientist I (ADBL147)

Employer: Audible, Inc.
Title: Applied Scientist I
Location: 1 Washington Park, Newark, NJ, 07102

Duties: Leverage background in computer science, machine learning, and software engineering to build scalable data solutions and innovative predictive modeling, ranking modeling, (un-) supervised learning, and simulation to explain, quantify, predict, and prescribe data in support of informing critical business decisions. Translate business goals into agile, insightful data analytics. Create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders. Develop and validate data models to optimize the details of all interactions with customers. Develop Amazon-scale data engineering pipelines. Work closely with other data scientists, machine learning experts, engineers and businesses across globe, and on cross-disciplinary efforts with other scientists within the organization. Contribute to the growth of the Audible Data Science team by sharing ideas, intellectual property, and learning from others. Position reports into Newark, NJ office; however, telecommuting from a home office is allowed.

Requirements: Requires a Master’s in Computer Science, Data Science, or a related field plus two (2) years of experience as an Applied Scientist, Data Scientist, or any occupation/position/job title involving experience in a highly quantitative field. Experience may be gained concurrently and must include:

Two (2) years in each of the following:
- Software development
- Building machine learning models for business applications
- Coding and problem-solving using at least one of the following programming languages: Python, Java, C++, or similar.

One (1) year in each of the following:
- Machine learning pipeline orchestration with AWS (SageMaker, Batch, Lambda, and Step Functions) or similar cloud-platforms
- Big data engineering with Spark, AWS EMR, and Glue.

Apply online: www.amazon.jobs Job Code: ADBL147

Basic Qualifications

Requirements: Requires a Master’s in Computer Science, Data Science, or a related field plus two (2) years of experience as an Applied Scientist, Data Scientist, or any occupation/position/job title involving experience in a highly quantitative field. Experience may be gained concurrently and must include:

Two (2) years in each of the following:
- Software development
- Building machine learning models for business applications
- Coding and problem-solving using at least one of the following programming languages: Python, Java, C++, or similar.

One (1) year in each of the following:
- Machine learning pipeline orchestration with AWS (SageMaker, Batch, Lambda, and Step Functions) or similar cloud-platforms
- Big data engineering with Spark, AWS EMR, and Glue.

Preferred Qualifications

Please see job description and the position requirements above.

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