Who you are

- 2+ years of data scientist experience

- 2+ 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 machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

- Knowledge of machine learning concepts and their application to reasoning and problem-solving

- Experience in Python, Perl, or another scripting language

- Experience in a ML or data scientist role with a large technology company

- Experience working on multi-team, cross-disciplinary projects

- 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

- 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 improves everyone's daily life, we’d love to hear from you

- 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

📌 Data Scientist (Vancouver)
🏢 Amazon
📍 Vancouver