Amazon Sr Data Scientist Private Pricing Analytics Insights PPA & 

United States, New York, New York 

265690415

At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with cutting-edge technologies and global clientsKey job responsibilities
• Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services in context of private pricing.
• Continually develop new ways of using data to look around the corners of the AWS Private Pricing business
• Use machine learning, data mining, and statistical techniques to design/run experiments that solve complex business problems.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
• Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.
• Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.
• Manage and develop advanced analytical tools that align, and simplify, monthly business reviews, annual planning, and forecasting processes.
• Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
• Generate ad-hoc and monthly operational analysis and reports, based on the needs of the stakeholders.

- 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
- Ability to communicate complex and nuanced messaging to a diverse audience of senior leadership stakeholders

- 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