Amazon Sr Data Scientist FinOps - Global Analytics 

India, Telangana, Hyderabad 

929363075

Key job responsibilities
The Sr. Data Scientist's responsibilities include, but are not limited to the following points:- Define the vision for data science in the accounts payable space in partnership with process and technology leaders.
- Extract and analyze large amounts of data related to suppliers and associated business functions.
- Adapt statistical and machine learning methodologies for Finance Operations by developing and testing models, running computational experiments, and fine-tuning model parameters. Review and recommend improvements to science models and architecture as they relate to accounts payable process and tools.
- Develop code to analyze data (SQL, PySpark, Scala, etc.) and build statistical and machine learning models and algorithms (Python, R, Scala, etc.).A day in the life

- 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
- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

- 3+ 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
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science