Senior Data Scientist, Search Customer Experience Data Science and Analytics

Key Skills

A/B Testing, AWS, Business Intelligence, Data Analytics, Data Mining, Data science techniques, Data Visualization, Linear regression, Mathematics, MATLAB Programming, Python Programming, QuickSight, R Programming, SAS, SQL, Statistical modeling, Statistics, Tableau

Job Description

Amazon is one of the most popular sites in the US. Our product search engine, one of the most heavily used services in the world, indexes billions of products and serves hundreds of millions of customers world-wide.

Our team leads the data science and analytics efforts for the Search Customer Experience (Search CX) and we own multiple aspects of understanding how we can understand and measure customer satisfaction with our experiences. This include building science based insights and reporting pipelines to define and track customer focused metrics.

We are diving deep in our CXs and looking to derive insights to inform product roadmaps using machine learning, experimentation and causal inference.

Key job responsibilities

We are looking for an experienced and curious data scientist with superior analytical skills to inform the data science charter of the Data Science and Analytics team. This position is critical in helping us learn more about our data and find opportunities to delight customers with data driven insights and machine learning models. The Data Science and Analytics team owns data science, data engineering and business intelligence. You will be supporting multiple business and technical stakeholders with high velocity analytics.

This role is uniquely positioned in the team as we have a growing need for looking around corners, prioritize opportunities using data driven insights and solution these opportunities using different AI techniques and causal inference models.

You will be diving deep in our data and have a strong bias for action to quickly produce high quality data analyses with clear findings and recommendations. As part of our journey to learn about our data, some opportunities may be a dead end and you will balancing unknowns with delivering results for our customers.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

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
• 5+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Experience working with data engineers and business intelligence engineers collaboratively
• Experience working with scientists, economists, software developers, or product managers
• Experience with causal inference and A/B testing

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 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/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. Applicants should apply via our internal or external career site.