Senior Data Scientist, ADE Science

Description The Alexa Daily Essentials team delivers experiences critical to how customers interact with Alexa as part of daily life. Alexa users engage with our products across experiences connected to Timers, Alarms, Calendars, Food, and News. Our experiences include critical time saving techniques, ad‑supported news audio and video, and in‑depth kitchen guidance aimed at serving the needs of the family from sunset to sundown. As a Data Scientist on our team, you'll work with complex data, develop statistical methodologies, and provide critical product insights that shape how we build and optimize our solutions. You will work closely with your Analytics and Applied Science teammates. You will build frameworks and mechanisms to scale data solutions across our organization. If you are passionate about redefining how AI can improve everyone's daily life, we’d love to hear from you. Key job responsibilities Problem‑Solving Analyze complex data (including healthcare data, experimental data, and large‑scale datasets) to identify patterns, inform product decisions, and understand root causes of anomalies. Develop analysis and modeling approaches to drive product and engineering actions to identify patterns, insights, and understand root causes of anomalies. Your solutions directly improve the customer experience. Independently work with product partners to identify problems and opportunities. Apply a range of data science techniques and tools to solve these problems. Use data‑driven insights to inform product development. Work with cross‑disciplinary teams to mechanize your solution into scalable and automated frameworks. Data Infrastructure Build data pipelines, and identify novel data sources to leverage in analytical work – both from within Alexa and from cross Amazon. Acquire data by building the necessary SQL / ETL queries. Communication Excel at communicating complex ideas to technical and non‑technical audiences. Build relationships with stakeholders and counterparts. Work with stakeholders to translate causal insights into actionable recommendations. Force multiply the work of the team with data visualizations, presentations, and/or dashboards to drive awareness and adoption of data assets and product insights. Collaborate with cross‑functional teams. Mentor teammates to foster a culture of continuous learning and development. 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. 4+ years of data scientist experience. Experience with statistical models (e.g. multinomial logistic regression). Experience documenting modeling for technical and business leaders. Preferred Qualifications 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience. Experience managing data pipelines. Experience as a leader and mentor on a data science team. Experience in data applications using large scale distributed systems (e.g., EMR, Spark, ElasticSearch, Hadoop, Pig, and Hive). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $143,200/year up to $239,100/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site. #J-18808-Ljbffr