Join Amazon's Global Logistics team as a Data Scientist and drive operational excellence through advanced analytics. You'll leverage your passion for optimizing business processes and performance metrics to identify high-impact opportunities. In this role, you'll design and implement scalable solutions, dive deep into complex data, and communicate insights that shape the future of our global logistics network.

Key job responsibilities
- Design and implement data-driven approaches to support decision-making across the business
- Apply a range of scientific techniques to solve complex business problems with unclear solutions
- Develop and automate large-scale analyses using cutting-edge algorithms and tools
- Validate findings against alternative approaches and key performance indicators
- Build strong relationships with stakeholders to drive improvements and prioritize customer needs



A day in the life
As a Data Scientist in Global Logistics, you'll start your day by reviewing the latest data trends and system performance metrics. You might collaborate with cross-functional teams to understand operational challenges, then dive into data analysis using advanced statistical methods. You'll develop models to optimize logistics processes, present findings to business partners, and work on implementing solutions that directly impact Amazon's global supply chain efficiency.

About the team
Our Global Logistics Data Science team is dedicated to revolutionizing the way Amazon moves products around the world. We're passionate about leveraging data to create innovative solutions that enhance customer experience, reduce costs, and improve sustainability. Join us in shaping the future of logistics through cutting-edge analytics and machine learning applications.

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
Learn more about our benefits here:

- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience

- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- 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 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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $206,800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.