Amazon Data Scientist Ring Science Engineering 

United States, New York, New York 

733842987

ABOUT RINGABOUT THE ROLE
Key job responsibilities
Drive shared understanding among business, engineering, and science teams of domain knowledge of processes, system structures, and business requirements.
Lead development and validation of state-of-the-art technical designs (data pipelines, data models, causal inference, predictive models, data insights/visualizations, etc)
Contribute to the hiring and development of others
A day in the life
Translate/Interpret
• Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact.Measure/Quantify/Expand
• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
• Analyze historical data to identify trends and support decision making.
• Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
• Provide requirements to develop analytic capabilities, platforms, and pipelines.
• Apply statistical or machine learning knowledge to specific business problems and data.Explore/Enlighten
• Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.
• Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.
• Make decisions and recommendations.
• Build decision-making models and propose solution for the business problem you defined.
• Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
• Utilize code (Python/R/SQL) for data analyzing and modeling 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