At Amazon, we strive to be Earth's mostcustomer-centric company, where customers can find and discoveranything they want to buy online. Our mission in InternationalSeller Services (ISS) is to provide technology solutions forimproving the seller and customer experience, drive sellercompliance, maximize seller success, and improve internal workforceproductivity. Team's main focus is to build products that arescalable across different regions of the world, while working inpartnership with ISS regional stakeholders and multiple partnerteams across Amazon. As a Data Scientist, you will be responsiblefor modeling complex problems, discovering insights, and buildingrisk algorithms that identify opportunities through statisticalmodels, machine learning, and visualization techniques to improveoperational efficiency. You will leverage your expertise in MachineLearning, Natural Language Processing (NLP), and Large LanguageModels (LLM) to develop innovative solutions for Amazon's ISS team.You'll be responsible for modeling complex problems, buildinginnovative algorithms, and discovering actionable insights throughstatistical models and visualization techniques to enhanceoperational efficiency in the e-commerce space. The role combinesusage of latest AI technology with practical business applications,requiring someone passionate about transforming the way we interactwith technology while delivering measurable impact through advancedanalytics and machine learning solutions. You will need tocollaborate effectively with business and product leaders withinISS and cross-functional teams to build scalable solutions againsthigh organizational standards. The candidate should be able toapply a breadth of tools, data sources, and Data Science techniquesto answer a wide range of high-impact business questions andproactively present new insights in concise and effective manner.The candidate should be an effective communicator capable ofindependently driving issues to resolution and communicatinginsights to non-technical audiences. This is a high impact rolewith goals that directly impacts the bottom line of the business.Responsibilities: 1. Analyze terabytes of data to define anddeliver on complex analytical deep dives to unlock insights andbuild scalable solutions through Data Science to ensure security ofAmazon’s platform and transactions. 2. Build Machine Learningand/or statistical models that evaluate the transaction legitimacyand track impact over time. 3. Ensure data quality throughout allstages of acquisition and processing, including datasourcing/collection, ground truth generation, normalization,transformation, and cross-lingual alignment/mapping. 4. Define andconduct experiments to validate/reject hypotheses, and communicateinsights and recommendations to Product and Tech teams. 5. Developefficient data querying infrastructure for both offline and onlineuse cases. 6. Collaborate with cross-functional teams frommultidisciplinary science, engineering, and business backgrounds toenhance current automation processes. 7. Learn and understand abroad range of Amazon’s data resources and know when, how, andwhich to use and which not to use. 8. Maintain technical documentand communicate results to diverse audiences with effectivewriting, visualizations, and presentations. BASIC QUALIFICATIONS -2+ years of data scientist experience. - 3+ years of data queryinglanguages (e.g. SQL), scripting languages (e.g. Python) orstatistical/mathematical software (e.g. R, SAS, Matlab, etc.)experience. - 3+ years of machine learning/statistical modelingdata analysis tools and techniques, and parameters that affecttheir performance experience. - Experience applying theoreticalmodels in an applied environment. PREFERRED QUALIFICATIONS -Experience in Python, Perl, or another scripting language. -Experience in a ML or data scientist role with a large technologycompany. Our inclusive culture empowers Amazonians to deliver thebest results for our customers. If you have a disability and need aworkplace accommodation or adjustment during the application andhiring process, including support for the interview or onboardingprocess, please visit this link for more information. If thecountry/region you’re applying in isn’t listed, please contact yourRecruiting Partner. Amazon is committed to a diverse and inclusiveworkplace. Amazon is an equal opportunity employer and does notdiscriminate on the basis of race, national origin, gender, genderidentity, sexual orientation, protected veteran status, disability,age, or other legally protected status.#J-18808-Ljbffr
