Applied Scientist III, Global Logistics, Applied Science

Applied Scientist III, Global Logistics, Applied ScienceJob ID: | Amazon.com Services LLCTransform global logistics by developing innovative technological solutions that optimize complex international shipping networks. Join a dynamic team where your advanced scientific expertise will directly impact millions of packages moving across borders, solving intricate transportation challenges through groundbreaking applied science.Key Job ResponsibilitiesDevelop advanced deep learning and generative AI applications for sophisticated product classification systemsLead complex modeling analyses to support strategic business decision‑making and policy developmentPartner with engineering and operations teams to design transformative machine learning solutions for Transportation challengesDesign and document technical strategies and applied science roadmapsInnovate and provide technological direction in international imports and exports logisticsA Day in the LifeYour workday will be an exciting blend of data exploration, innovative problem‑solving, and collaborative technology development. You’ll dive into complex datasets, design sophisticated machine learning models, engage with cross‑functional teams, and create technological solutions that reshape international shipping capabilities.About the TeamWe are a passionate group of scientists and engineers dedicated to building comprehensive transportation technologies. Our mission is to create highly scalable, intelligent systems that enable seamless international package movement. By pushing technological boundaries, we’re reimagining global logistics through innovative applied science.BenefitsAmazon 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 CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanLearn more about our benefits here: QualificationsPhD, or Master’s degree and 6+ years of applied research experience3+ years of building machine learning models for business application experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPreferred QualificationsExperience 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.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 applyAmazon 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 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 $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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.#J-18808-Ljbffr