Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI

Amazon; Bellevue (WA); On-site; USD 159,000 - 237,000; Full time

Benefits offered by this job

Medical, Dental, Vision

PTO

401(k) Plan

Parental Leave

Job summary

Amazon’s Data Science and Analytics team seeks an experienced data scientist to inform the data science charter and deliver high-velocity analytics for multiple stakeholders. You will build ML models, apply causal inference techniques, and translate data into actionable business insights that delight customers.

The role emphasizes fast learning from data, balancing unknowns with delivering tangible results for our customers at scale, including innovative initiatives in Amazon Fresh and other

Qualifications

• 5+ years using SQL, Python, or statistical software.
• 4+ years hands-on data science experience.
• Experience with multinomial logistic regression

Responsibilities

• Perform data analyses with clear findings and recommendations.
• Support multiple business and technical stakeholders with high-velocity analytics.
• Develop machine learning models and causal inference analyses.
• Balance unknowns with delivering results for customers.

Skills

SQL

Python

R/SAS/Matlab

Tools

AWS QuickSight

Tableau

R Shiny

Job description

The R2L team is responsible for building the next generation supply chain for Amazon’s world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!

Key job responsibilities

We are looking for an experienced and curious data scientist with effective superior analytical skills to inform the data science charter of the team. This position is critical in helping us learn more about our data and finding 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, prioritizing opportunities using data driven insights, and finding solutions to these opportunities using different machine learning 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 be balancing unknowns with delivering results for our customers.

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,

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:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 175,100.00 - 236,900.00 USD annually

USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually

Company - Amazon.com Services LLC

Job ID: A10473690