Amazon Data Scientist - Machine Learning WWPS ProServe 

United States, Texas, Arlington 

830675945

In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of HCLS data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI.This position requires that the candidate selected be a US Citizen.Key job responsibilities
As an Data Scientist, you will:
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years of experience building models for business applications
- Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
- Experience using Python and hands on experience building models with deep learning frameworks (i.e. Tensorflow, Keras, PyTorch, MXNet, JAX)
- Experience of working with healthcare and life sciences data (e.g. EHR, HL7/FHIR, insurance claims, genomics, medical imaging, etc)

- Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field related to healthcare and life sciences
- Practical experience in solving complex problems using cloud computing
- Experience building applications leveraging GenAI