Amazon Dev Center U.S., Inc. Looking For Data Scientist, Voice-of-the-Customer, AWS Documentation Content Insights & Quality at Remote Full Time

Degree in Computer Science, Engineering, Mathematics, or a related field

Minimum of 8+ years hands-on experience as a 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, Spark, Python, R, or Scala

Design experiments, test hypotheses, and build actionable models to deliver timely insights

Experience working closely with internal stakeholders such as business teams, engineering teams, and partner teams and influencing them to align with your recommendations

Job summary

The AWS Documentation team is seeking a data scientist to interpret and improve the signals we receive from the voice-of-the-customer (VOC).

We’re a kind and supportive team who believe that every great customer experience needs to be grounded in a deep understanding of the customer’s needs. We also acknowledge that this doesn’t stop once a product or content is launched, customer requirements change, and so must we.

Key job responsibilities

As a Data Scientist in this role, you will lead cross-functional efforts to investigate, interpret, and establish standards for the VOC. In your first year, you will:

Use VOC data and trends to make specific and strategic recommendations about how to improve AWS Documentation

Work with our VOC team to define the requirements for our customer feedback systems so it can be optimally designed for the best results.

Use evidence-based approaches to establish VOC metrics and standards for how to best interpret VOC data

Partner with Data Engineers and Business Analysts to incorporate your findings into our data and reporting infrastructure

Promote those standards across partner teams and the AWS organization

Contribute to 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.

Develop and test machine learning models

Continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics.

About the team

Our team is at the very start of the data journey for AWS Documentation we are building a team who can set the insights foundation for a large organization that develops a primary component of the customer experience with AWS. Collaboration on this team is crucial, as is communication. We are kind and so are you. We respect everyone as professionals and that they have the best interest of the organization in mind.

Experience working with VOC data

Master’s/PhD degree in or Computer Science, Engineering, Mathematics or related discipline

Familiarity with cloud technologies

Solve analytical problems, and effectively communicate models, trends, analysis, anomalies and results

Ability to convey rigorous mathematical concepts and insights to non-experts

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 https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.