Amazon Data Scientist Sponsored TV @ Amazon ads 

United States, California, Palo Alto 

705267380

Key job responsibilities
- Translating business questions and concerns into specific analytical questions that can be answered with available data using statistical and machine learning methods; working with engineers to produce the required data when it is not available- Presenting critical data in a format that is immediately useful to answer questions about the inputs and outputs of Forecasting systems and improving their performance- Improving upon existing statistical or machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for improving ad performance such as new ad sourcing models or ad optimization model
- Supporting decisions by providing requirements to develop analytic capabilities, platforms, pipelines and metrics then using them to analyze trends and find root causes of ad performance issues
- Formalizing assumptions about how forecasts are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them
- Utilizing code (Python, R, Scala, SQL etc.) for w2 data and building statistical and machine learning models and algorithms

- 3+ 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 scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment