Amazon Web Services (AWS) is looking to reduce operational load and toil through long-term engineering projects, and the AWS Managed Operations Data Science (MODS) Team is seeking a Data Scientist to drive data-driven transformation across the organization.
Requirements
- 3+ years of data scientist experience
- 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
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Responsibilities
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical approaches
- Develop ML/AI models. Partner with software teams to productionalize these models.
- Data Pipeline and Infrastructure: design and implementation of data pipelines
- Metric Development and Monitoring: Define and develop advanced, customized metrics and key performance indicators (KPIs) that capture the nuances of the organization's strategic objectives and operational complexities. Continuously monitor and evaluate the performance of metrics
Other
- U.S. citizenship is required for this position
- Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or Master's degree and 4+ years of data scientist experience
- Must be willing to work in Northern Virginia
- Ability to work with cross-functional teams and systems
- Must be able to obtain any required security clearance
