About the role
Who you are
- If you are passionate about redefining how AI can improves everyone's daily life, we’d love to hear from you
- 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
- 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)
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 (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
- 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
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
About the role
Who you are
- If you are passionate about redefining how AI can improves everyone's daily life, we’d love to hear from you
- 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
- 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)
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 (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
- 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
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.