Training Solutions Research Scientist, AWS Training and Certification

Training Solutions Research Scientist, AWS Training and CertificationAre you fascinated by the science of learning, how individuals learn, and how learning continues to evolve? Are you driven to design and conduct experiments, collect and analyze data, interpret results to solve problems, and transform the way we learn and interact with technology? If so, AWS Training & Certification (T&C) team has an exciting opportunity for you as a Research Scientist.A T&C Research Scientist will have deep industry knowledge, leverage AI/ML tools, analyze data, experiment, stay current with trends, identify opportunities, aid in product and strategy development, and provide insights for T&C around the science of learning.Key Job ResponsibilitiesEngage in discussions with teams to ensure research generates actionable findings.Apply scientific research and analysis to design, experiment, and conduct scalable research projects that address opportunities in learning and credentialing for international audiences.Identify opportunities to simplify existing research processes and operate more nimbly.Collaborate with cross-functional teams, including engineers, business, product, and others to define requirements, establish success metrics, and deliver high-quality solutions.Use statistical methodologies to understand relationships between key metrics and other related measures (e.g., regression, structural equation modeling, etc.).Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance T&C operational performances and customer experiences.Continuously explore/evaluate emerging methodologies to improve the accuracy and efficiency of research.Analyze performance of methods and models, iteratively improving them based on quantitative metrics and feedback.Communicate concepts and findings effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on opportunities and their potential impact.About the team: The AWS Training and Certifications (T&C) team is dedicated to cultivating millions of highly skilled cloud professionals by delivering industry-leading training products and experiences, and certifications.Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform, pioneering cloud computing and driving continuous innovation.Basic QualificationsMaster’s degree or above in a quantitative field1+ years of quantitative field research experienceExperience investigating the feasibility of applying scientific principles and concepts to business problems and productsExperience with data analysis packages (R, SAS, Matlab, etc.)Experience using SQL databases to manage and analyze large data setsPreferred QualificationsPhD in operations research, applied mathematics, theoretical computer science, or equivalentExperience applying forecasting and data mining techniquesKnowledge of machine learning processing: computer vision, NLU, NLP, or operations researchKnowledge of statistics and probabilityAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation during the application and hiring process, please visit for more information.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $113,000/year in our lowest geographic market up to $195,200/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. Depending on the position offered, equity, sign‑on payments, and other forms of compensation may be provided along with a full range of medical, financial, and other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.To learn more, visit