Data Scientist II

This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.DescriptionThe Support Product and Services (SP&S) team focuses on improving advertisers support experience driving self-service support and contact support operations. The Support Products and Services team's vision is to empower Advertisers with the right assistance at the right time to enable them to confidently and effectively grow their business with Amazon. We know highly effective support interactions both address immediate issues and unlock future business opportunity.As a SP&S science team, our goal is to develop and advance theories and models that can be used to make informed decisions in providing right advertiser support and estimate impacts of these support using experimental (A/B test) or observational data with the help of causal inference studies. Additionally, we seek to enhance the present models which help estimate the impact of program/product initiatives on contact volume, speed and quality of resolution. The data scientist will also work on identifying opportunity areas to extend recommendation to advertisers proactively using propensity models. We are seeking a Data Scientist who has a solid background in Machine Learning and Data Science, deep passion for building data-driven solutions, ability to formulate data insights and scientific vision, and has a proven track record of executing complex projects and delivering business impact.Key job responsibilitiesImplement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.).Drive design and development of user classification models and other predictive models to enable a personalized experience for a user.Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.Collaborate with program management, product management, software developers, data engineering, and business leaders to provide science support, and communicate feedback; develop, test and deploy a wide range of statistical, econometric, and machine learning models.Build customer-facing reporting tools to provide insights and metrics which track model performance and explain variance.Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations.Earn the trust of your customers by continuing to constantly obsess over their needs and helping them solve their problems by leveraging technology.About The TeamThe Support Product & Services team is a collaborative group of Business Intelligence Engineers, Data Scientist, Applied Scientist, Data Engineer, Product Managers, Software Development Engineers, Program Managers and Product. Our work is dedicated to empowering leaders and enabling action through data and science to improve the ways in which we can support advertisers.We are open to hiring candidates to work out of Seattle, WA, USA.Basic QualificationsMaster's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience.2+ years of data scientist experience involving data extraction, analysis, statistical modeling.3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience.3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.Experience applying theoretical models in an applied environment.Preferred QualificationsMaster's degree in a quantitative field.Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.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 $111,600/year in our lowest geographic market up to $212,800/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.

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