Sr. Data Scientist, Alexa Smart Home Science

DESCRIPTION: We're excited to build Large Language Model-based solutions that employ Applied Science, Linguistics, and Software solutions to delight Alexa Smart Home customers! Does this sound exciting to you? Come join us!<br><br>The Smart Home Science team is focused on making Alexa the user interface for the home. From simple voice commands like turning on lights or adjusting the heat to complex use cases involving home security, entertainment, and environmental control, we are evolving Alexa into an intelligent, indispensable companion. Our goal is to automate daily routines, simplify interactions with appliances and electronics, and provide alerts when something unusual is detected. You can be part of a team delivering features that are highly anticipated by media and well-received by our customers.<br><br>As a Senior Data Scientist, you will collaborate with scientists, linguists, and software developers to build the next generation of Large Language Model-based Smart Home voice control. You will lead complex data analyses and define, develop, and present research on advanced model- and heuristic-based tools and metrics to analyze the customer experience. Additionally, you'll have the satisfaction of working on a product that Amazon customers, friends, and family use every day!<br><br>Key job responsibilities<br>- Perform and standardize complex data analyses to provide insights into the customer experience and large language model performance. <br>- Define, develop, and present research on advanced model- and heuristic-based tools and metrics to analyze the customer experience. <br>- Prepare and present data reports to Alexa Smart Home leadership. <br>- Mentor junior scientists to enhance their skills, knowledge, and professional effectiveness.<br><br>About the team<br>Alexa Smart Home Science is a team of Scientists, Machine Learning Engineers, Linguists, and Software Developers that collaborate together to enable customers to engage with Alexa in a natural, delightful, and frustration-free manner to control device-related experiences in their homes and create the smart home of the future! BASIC QUALIFICATIONS:

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience<br>- 4+ years of data scientist experience<br>- Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS:
• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience<br>- Experience managing data pipelines<br>- Experience as a leader and mentor on a data science team<br><br>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br><br>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br><br>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.