DESCRIPTION

Amazon Shipping and Delivery Support (SDS) Tech team is seeking a passionate and customer-obsessed Senior Data Scientist to join our science team. You will use scientific research and rigorous analytics to influence our program and product strategies in driver and recipient support, solve complex problems at large scale, and drive intelligence and innovation in decision making.

In this role, your main focus is to perform analysis, synthesize information, identify business opportunities, provide project direction, and communicate design and technical requirements within the team and across stakeholder groups. You will assist in defining trade-offs and quantifying opportunities for a variety of projects. You will learn current processes, build metrics, educate diverse stakeholder groups, assist product and tech teams in initial solution design, and audit new process flow implementations.

Key job responsibilities
* Provide thought leadership and support the development of continuously-evolving business analytics and data models, own the quantitative analysis of project opportunity and ROI.

* Translate difficult business problem statements into data science frameworks; build, evaluate, and optimize statistical and machine learning models to solve focused business problems.

* Retrieve, analyze, and synthesize critical data into a format that is immediately useful to answering specific questions or informing operational decisions.

* Collaborate with product, program, and operations teams to design experiments (A/B Test) and analyze results to support launch decisions.

* Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

A day in the life
If you are not sure that every qualification on the list above describes you exactly, we’d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

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
– Master’s degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor’s degree and 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
– Bachelor’s Degree

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
– Must be a quick learner and effective in both written and verbal communications.

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 $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.

USA, WA, Seattle