DescriptionAmazon's Global Logistics (GL) team is seeking an experienced Senior Applied Scientist to research and deploy production solutions for transportation Pricing, Downstream Impact (DSI), and Network Flow. In this role, you will contribute to our vision of offering best-in-class global transportation capabilities for FBA Sellers and Retail Vendors, enabling them to ship efficiently from their locations to Amazon warehouses worldwide. Your work will help lower the cost structure for Amazon and our shippers, while also improving selection and availability for Amazon's consumers by simplifying complex global supply chains and replenishing inventories faster.Key job responsibilities
Collaborate closely with product managers, research scientists, operations leaders, and technical leadership to build cutting-edge transportation capabilities.
Analyze large datasets, develop end-to-end workflows, prototype optimization and machine learning models, and launch production-ready solutions.
Communicate your research findings and provide scientific guidance to the business, influencing our product strategy and roadmap.
Conduct experimental research that will inform future investment areas for the transportation business.
A day in the life
Reviewing and refining the requirements for a new transportation pricing model with the product management team.
Conducting exploratory data analysis to uncover insights that can inform the design of the pricing algorithm.
Building and testing optimization prototypes, iterating on the model based on performance metrics.
Presenting your progress and initial findings to senior leadership, soliciting feedback to shape the next phase of development.
Collaborating with the engineering team to ensure a smooth transition of the model into production.
About the teamYou will be joining the Network Economics, Research and Data Science (NERDS) Team, which supports GL's transportation business for North America (United States, Canada, and Mexico). The team's research focuses on developing solutions to improve transportation pricing, costs, speed, shipper support, fraud/theft prevention, shipment visibility, and delivery appointment scheduling for Amazon warehouses.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://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock Basic Qualifications
3+ years of building machine learning models or developing algorithms for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C, Python or related language
Experience with neural deep learning methods and machine learning
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience in building operations research models for business application
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 $150,400/year in our lowest geographic market up to $260,000/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.
