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Senior Applied Scientist, Amazon Health
Amazon
Seattle, WA, USA
Posted on Dec 21, 2024
DESCRIPTION
About Amazon Health
Amazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.
Job summary
We are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of Health Economics and Health Outcomes Research to work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. You will build and deploy state-of-the-art ML models for individual customer and population-level outcomes. You will work with clinical, product, and finance partners to test and deploy models to develop new product offerings and recommend solutions to address customer health care needs. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.
#everydaybetter
Key job responsibilities
- Translate Product, Finance and Clinical business and healthcare problems into scientific questions
- Build and leverage data pipelines for training and evaluating ML models
- Design, implement, and optimize the best-in-class machine learning solutions for forecasting and behavior change
- Design and conduct live experiments to validate model performance
- Deploy ML solutions into existing and new customer-facing systems and business processes
A day in the life
In a fast-paced innovation environment, you work closely with product, finance, and clinical teams to understand customer's and business challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, access and analyze data, and enabling new ML solutions to impact customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.
About the team
We are the Health Measurement Science team at HST (Health Store and Technology). The team consists of Scientists and Economists with experience in varied industries, including health care. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 6+ years of building machine learning models for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
PREFERRED QUALIFICATIONS
- 5+ years of building machine learning models for business application experience
- Healthcare experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.