Data Scientist

Heal | Los Angeles, Seattle

Posted Date 7/13/2017

At Heal, we are bringing back the physician house call!  Our mission is to deliver great healthcare in the comfort of the patient’s home. We use technology and ingenuity to make care delivery smart, efficient, and high quality.

Heal is revolutionizing each and every step of the patient care process, from affordability, patient-provider matching to billing to health record management. We are in-network with all major insurance companies in the markets we serve, and for those who do not have health insurance we charge $99 flat fee. Through the touch of an app or a click on our site, an affordable,  highly-vetted, qualified medical doctor will arrive at your door, twelve hours a day, 365 days a year. 

To realize the Heal vision we are looking for talented engineers to join us! As a Data Scientist at Heal, you will have the opportunity, working with the Data Science team and stakeholders, to take disparate data sets and create models and reports allowing us to operationalize our data.

What you’ll do:

  • Leverage your knowledge of statistics to help create and enhance our capabilities around predictive analytics
  • Utilize your knowledge of analytics to build data models and reports allowing us to predict customer behavior, growth forecasting, and market predictions that will help Heal make strategic, business planning decisions
  • Run analysis and experiments to test hypothesis and report results
  • Mentor junior Data Scientists to improve their skills, and make them more effective team members
  • Work with cross-functional teams and stakeholders to collect requirements, and create tools and solutions for the enterprise

Skills you’ll need to be successful in this role:

  • Bachelor’s Degree in Computer Science or related field or equivalent experience
  • 3+ years professional experience as a Data Scientist using technologies such as R, Python (numpy/pandas/scipy)
  • Well-versed in statistics and probability which includes knowledge of regression models, clustering and GLM.  Experience with recommendations engines is a plus.
  • Hands-on experience analyzing large data sets in a distributed computing environment
  • We are a startup:  so, the ability to work in a fast-paced and fluid environment is key to being successful in this role

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AddressLos Angeles, Seattle