Data Scientist I

Boston, Massachusetts, USA

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Posted 3 weeks ago

Amazon Web Services (AWS) is building several new analytics-driven services that will transform the sales and marketing ecosystem. We are looking for a Data Scientist that can work comfortably with large volumes of data, derive key insights, build and maintain machine learning (ML) models, and perform A|B tests while maintaining the highest standards for security and operational excellence. As a Data Scientist, you will collaborate closely with the product managers and engineering teams to generate timely insights to help our marketers and sellers.

If you are looking to be part of a new strategic AWS initiative, have a startup-DNA, and want to create the next-generation sales engagement offerings, contact us to learn more!
Location: Strong preference for this position to be in Boston, but open to these additional locations: Seattle, WA, Dallas, TX and Arlington, VA. Relocation offered from within the US to any of these locations.

Key Responsibilities:

In this role,
· You will apply your skills to create insights, and produce recommendations to help AWS Sales team.
· You'll be involved in all phases of research and experiment design and analysis, including defining research questions, designing experiments, identifying data requirements, conducting statistical or machine learning-based modeling, and communicating insights and recommendations.
· You will develop machine learning models and work with engineering team to deploy to production.
· You are also be expected to continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics.

Basic Qualifications

· Degree in Computer Science, Engineering, Mathematics, or a related field
· 1+ years hands-on experience as Data Scientist performing statistical analysis, data visualization and machine learning on big data
· Working knowledge of software development methodologies like Agile, Scrum, Kanban, or equivalent
· Proficiency with SQL, Python, R, Scala

Preferred Qualifications

· Master's/PhD degree in or Computer Science, Engineering, Mathematics or related discipline
· Experience using AWS technologies such as Redshift, Sagemaker, Athena, S3, EC2, Quicksight
· Experience with libraries such as Pandas, Matplotlib
· Excellent verbal and written communication skills, ability to convey rigorous mathematical concepts and insights to non-experts
· Meets/exceeds Amazon’s leadership principles requirements for this role
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

Job tags: AWS Big Data Engineering Machine Learning Marketing Matplotlib ML Pandas Python R Redshift Research SageMaker Scala Scrum Security SQL
Job region(s): North America
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