Amazon Web Services (AWS) ยท 2 weeks ago
Data Scientist II, AWS Managed Operations Data Science (MODS)
Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud. The AWS Managed Operations Data Science (MODS) Team is looking for a Data Scientist to lead the research and thought leadership to drive data and insight strategy for AWS, responsible for the end-to-end data science lifecycle and collaborating with cross-functional teams.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
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
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
Preferred
6+ years of data scientist experience
4+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
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)
Experience in a ML or data scientist role with a large technology company
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
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