Description We are looking for a Data Scientist for Rufus team who will focus specifically on building signals to measure customer shopping journey and progressions for analytical purposes, an area that is seeing accelerated adoption.You will have the opportunity to dive deep into the vast data generated and applying current data analysis methods to produce insights that will improve customer experience, and business value. You will get exposed to exciting challenges and opportunities for innovation that arise as we look into complicated customer journeys. As a member of this team, you’ll work closely with data engineers , economist and analytics team, have fun, and help build a framework for offline use cases enabling multiple teams in shopping org to measure success of their CXs specifically where traditional amazon metrics do not work in quantifying the value of CX. Key job responsibilities Improving quality of customer journey and shopping progression by refining and leveraging additional amazon engagement signals site wide to be used for analytical purposes. Basic Qualifications - 5+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression - Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue) - MS degree or higher in Applied Mathematics, Statistics, Computer Science, Engineering, or related field (PhD preferred) Preferred Qualifications - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Demonstrated experience and success in leading large-scale projects 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.