The successful candidate is passionate about optimizing business processes and performance metrics, and takes a driven approach to identifying and prioritizing the most impactful efforts. This role will also build tools and support structures needed to analyze, dive deep to determine root cause of system errors, network changes and performance issues. This role will need to present findings to business partners to drive improvements and prioritize customer needs to deliver the right results.
Key job responsibilities
- Design and implement scalable and reliable approaches to support or automate decision making throughout the business.
- Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.
- Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.
- Acquire by building the necessary / ETL queries.
- Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation.
- Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.
- Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
- Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.
- Build relationships with stakeholders and counterparts.
A day in the life
As a Senior Data Scientist in Global Logistics, you'll start your day by reviewing the latest operational data and identifying areas for improvement. You might collaborate with cross-functional teams to design experiments, build predictive models, or optimize existing algorithms. Throughout the day, you'll dive deep into data, uncovering insights that drive business decisions. You'll present your findings to leadership, translating complex analyses into actionable recommendations. Your work will directly impact Amazon's ability to deliver products efficiently and meet customer expectations.
About the team
The Global Logistics Data Science team is at the forefront of innovation, leveraging cutting-edge technology and advanced analytics to revolutionize Amazon's supply chain. We're passionate about solving complex problems and driving continuous improvement in our logistics network. Our team values collaboration, creativity, and a relentless focus on customer satisfaction. Join us in shaping the future of global logistics through data-driven insights and technological innovation.
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: https://www.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
- 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.
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.