Geospatial Data Scientist
2 days ago
We are seeking a talented Applied Scientist II to work with our team in Last Mile Address Intelligence. As part of this role, you will have the opportunity to contribute to cutting-edge geospatial projects that impact the world.
**Company Overview:**
Amazon is an inclusive employer and a member of myGwork, the largest global platform for the LGBTQ+ business community. We strive to create a workplace where everyone feels valued, respected, and empowered to deliver their best results for our customers.
**Estimated Salary:** $160,000 - $200,000 per year
**Job Description:**
In this role, you will work on end-to-end business problems from design to experimentation and implementation. You will partner closely with other scientists and engineers to develop enterprise ML solutions with a clear path to business impact. Our team focuses on developing innovative solutions for complex geospatial challenges, including address normalization, geocode learning, maps learning, and time estimations.
**Required Skills and Qualifications:**
- 3+ years of building models for business application experience
- PhD or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
**Benefits:**
Our inclusive culture empowers Amazonians to deliver the best results for our customers. We offer a competitive salary, benefits package, and opportunities for professional growth and development. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
**Location:** This role can be based out of HYD13 or BLR26 locations.
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