Data Science Support Engineer
hace 2 semanas
**About Us**
At Amazon, Ring is a leading smart home security company that offers innovative products to enhance user safety and convenience.
We're looking for a talented Software Data Analyst to join our team
About the Role:
- Provide technical support for data science and engineering tasks
- Support incoming tickets, including troubleshooting and coding projects
- Work on operations and maintenance driven coding projects and AWS technologies
- Deploy software in staging and production environments
- Automate processes to reduce operations and maintenance
- Report system and support status
- Own digital products or components
About the Team:
Ring Data Science and Engineering is a fast-paced organization that drives data strategy, governance, architecture, analytics platforms, and business insights. We're organized into three sub-organizations: Data Operations, Data Warehouse, and Data Science and Analytics.
Data Operations handles large-scale data collection services, near-real-time telemetry streaming, and operational analytics platforms. This organization is divided into four teams: EventStream, LogStream, Quick Action Service (QAS), and Database Engineering.
Data Warehouse handles foundational data engineering pipelines, analytics platforms, and privacy compliance automation services. This org is also divided into four teams: Platforms, Business Vertical Data Pipelines, Data Quality, and Data Privacy.
Data Science and Analytics is responsible for Ring's foundational AI/ML models, core business metrics, shared data models, product analytics dashboards, and analyst/scientist support.
About You:
To be successful in this role, you'll need 2+ years of experience in software development or technical support, a Bachelor's degree in engineering or equivalent, and experience with Unix, scripting, databases, AWS, networks, and operating systems.
Salary Range: $120,000 - $150,000 per year, depending on location and experience.
What We Offer:
* Competitive salary range
* Opportunities for professional growth and development
* Collaborative and dynamic work environment
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