We have a new Data Science team seeking an experienced and hands-on Data Scientist to join us. You’ll leverage your extraordinary analytical and technical skills in this role. You’ll also support the team’s effort around managing the project lifecycle from data exploration to modeling and analysis through model selection, validation, evaluation, and deployment.  

You will be joining a team of especially smart, funny, quick-witted, and dedicated coworkers, all passionate about data and improving patient access to healthcare. We are looking for someone experienced in partnering with business stakeholders, translating their needs into technical solutions and answers, and then building and delivering those solutions. This role will report directly to the Associate Director of Data Science. 

As our Data Scientist, you will help deliver analysis and predictive model with a large data set relevant to the health care system in the United States. Additionally, you’ll provide near real-time business intelligence tools and build data products for internal consumption.  

What You'll Do:

• Leverage Phreesia’s massive and ever-growing dataset to build data products that provide actionable business insights 

• Optimize targeted engagement strategies through modeling, forecasting, and evaluation 

• Develop methods to efficiently classify and characterize patient populations 

• Navigate and use diverse machine learning stacks in Python and R 

• Use NLP techniques to parse, process, and structure textual data 

• Quickly prototype ideas and solve complex problems by adopting creative approaches 

• Take ownership of data products, ensure they are properly tracked throughout their lifecycle and build customized dashboards for internal and external clients

What You'll Bring: 

• MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience 

• 2+ years of experience in an operational Data Science role and Strong SQL Skills  

• Professional command of Data Science and Machine Learning toolsets such as Python (Numpy, Scipy, Pandas, Scikit-learn), R (dplyr, tidyverse, ggplot). 

• Experience in using statistical principles to inform decision making (experimental design, significance tests, a/b testing) 

• Excellent interpersonal and communication skills, both written and verbal 

• Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making 

• Experience contributing professional-level code using version control