Data Scientist at Phreesia

Job Description:

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 



Who We Are:At Phreesia, we’re looking for smart and passionate people to help drive our mission of creating a better, more engaging healthcare experience. We’re committed to helping healthcare organizations succeed in an ever-evolving landscape by transforming the way healthcare is delivered. Our SaaS platform digitizes appointment check-in and offers tools to engage patients, improve efficiency, optimize staffing, and enhance clinical care.Phreesia cares about our employees by providing a diverse and dynamic work environment. We’re a five-time winner of Modern Healthcare Magazine’s Best Places to Work in Healthcare award and we’ve been recognized on the Bloomberg Gender Equality Index. We are dedicated to continuously improving our employee experience by launching new programs and initiatives. If you thrive in a culture of recognition, value inclusivity, professional development, and growth opportunities, Phreesia could be a great fit!
Top-rated Employee Benefits:

100% Remote work + home office expense reimbursements
Competitive compensation + equity grants for all employees
Unlimited PTO + 8 company holidays
Monthly allowance for cell phone + internet + wellness
100% Paid 12-week parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada
Variety of insurance coverage for people (and pets!)
Continuing education and professional certification reimbursement

We strive to provide a diverse and inclusive environment and are an equal opportunity employer.