Data Scientist

Who you are

• If you are passionate about redefining how AI can improves everyone's daily life, we’d love to hear from you
• 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
• Experience working with or evaluating AI systems
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

What the job involves

• 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
• Analyze complex data 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
• 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
• 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