An experienced and distributed team of health care quantitative research scientists is looking for a new member. Our goal is to measure outcomes and help improve and optimize the health care and related products and services offered by Amazon Health Services.Key job responsibilitiesResearch Scientist:- Conducts statistical analyses and builds machine-learning solutions to answer complex business questions;- Engages in cross-functional partnerships to deliver solutions at scale;- Analyzes various data sources: claims, electronic medical records, surveys, patient-reported outcomes, operational data;- Partners with stakeholders to improve customer experience and engagement, and health and financial outcomes.Ideal candidate is/has:- A scientific leader - efficiently delivers complex solutions to ambiguous business problems; possesses an analytic toolkit and ability to identify the right methods for poorly-defined problems; invents new approaches and adapt methods from other disciplines.- An influencer - a trusted partner in business and customer discussions; understands and communicates cross-team perspectives and makes sound decisions about trade-offs; interprets scientific findings to promote high-speed decision-making.- High standards and her/his work is exemplary and detail-oriented. Ensures accuracy, applicability, and scalability of solutions. Identifies and implements opportunities for improvement.- A teacher and a learner - provides and solicits respectful feedback from peers and leaders and mentors junior colleagues. Active in scientific community and participates in recruiting and promotion processes.A day in the lifeIn different project stages, you will- work with product, finance, marketing, and clinical partners to identify problems and ideate solutions;- write new proposals, updates for ongoing work, or scientific documents describing results;- access and understand data, build analytic datasets, and conduct measurement and construct models.- share your knowledge and learn from others.We put high value on actionable feedback and finding the right work-life balance. It isn't about the hours you spend at work or getting it right the first time. We are here to contribute and grow, in a way that allows us to shine.About the teamAmazon Health Services mission is to improve health outcomes by making it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Boston, MA, USA | San Francisco, CA, USA | Seattle, WA, USA- PhD, or Master's degree and 5+ years of quantitative field research experience- Experience communicating qualitative research methods and findings to non-qualitative researchers- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression)- Experience converting research studies into tangible real-world changes- Experience with discrete and continuous optimization methodologies and algorithms- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.- Experience in healthcare analytics or rigorous measurement of marketing and customer engagement interventions.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of