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Description

Passionate about books? The Amazon Books personalization team is looking for a books obsessed Senior Data Scientist to help invent, design, and deliver innovative science solutions to make it easier for millions of customers to find the next book they will love.

In this role you will:

- Be a part of a dynamic team of scientists, economists, engineers, analysts, and business partners.

- Use Amazon's large-scale computing and data resources to generate deep understandings of our customers, and products.

- Build scalable solutions and models to support Books Personalization & Recommendations space.

- Leverage a range of methods including machine learning, statistics, analytics & insights to improve the experience for millions of customers.

- Translate business goals into agile, insightful analytics. Seek to create value for both stakeholders and customers, and present findings in a clear, actionable way to managers and senior leaders.

Key job responsibilities

As a Senior Data Scientist, you will:

- Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate advanced ML algorithms & insights to address real-world challenges.

- Own science artifacts that improve the recommendations experience for customers.

- Imagine, invent, and proactively deliver applications using innovative approaches and emerging technologies.

- Make sense of a wall of data by developing compelling data visualizations, creating hypotheses, and driving experimentation and innovation across the team.

A day in the life

From day-to-day, you will research, develop insights, support development of models that power customer facing recommendations, design and implement A/B test experiments, as well as collaborate with engineers, product, and other scientists to get machine learning solutions into production.

About the team

We are Books Personalization Experience team, a collaborative group of Scientists, ML Engineers, Product Managers, and multiple engineering teams that aims to help find the right next read for customers through high quality personalized book recommendation experiences. Books Personalization Experience is a part of the Books Content Demand organization, which focuses on surfacing the best books for customers wherever they are in their current book journey.

Basic Qualifications

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- 4+ years of data scientist experience

- Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

- Experience managing data pipelines

- Experience as a leader and mentor on a data science team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.