Senior Data Scientist, Amazon Pharmacy

DESCRIPTION

Innovation is at the core of what we do. We believe that by removing and reducing the barriers that prevent people from taking their medications, we can help customers conveniently get the medications they need, when they need them and take them as prescribed. We have provided customers with the ability to find transparent and simple pricing, receive 24/7 customer service support, and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the world’s safest and fastest online pharmacy. We are looking for a Senior Data Scientist to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy! As a Senior Data Scientist on the team, you will lead building data science solutions end-to-end and collaborate with other scientist team members. You can deliver independently on ambiguous and large-scale problems. You will leverage your statistical and machine learning knowledge to address specific business problems. You will retrieve, understand, analyze, and present critical data and insights and communicate (verbal and written) to your partner engineers, scientists, product managers, and leadership to identify business opportunities, support decision making, and drive product innovations. #everydaybetter We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

BASIC QUALIFICATIONS

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience working with scientists, economists, software developers, or product managers
- Experience working with data engineers and business intelligence engineers collaboratively