Data Scientist

Population Health Chicago, Illinois


Description

Company: Oak Street Health 

Title: Data Scientist
 
Oak Street Health is a rapidly growing, innovative company of community-based healthcare centers delivering higher quality health and wellness care that improves outcomes, manages medical costs and provides an unmatched experience for adults on Medicare in medically underserved communities. By providing holistic, comprehensive and integrated care right in our patients’ communities, we can help keep them healthy and reinvest cost savings in further care for those same communities and others. Since 2013, Oak Street Health has brought its singular approach to tens of thousands of people across the nation. With an ambitious growth trajectory, Oak Street Health is attracting and cultivating team members who embody Oak Street values and are passionate about our mission to rebuild healthcare as it should be.

For more information, visit www.oakstreethealth.com.

Role Description

At Oak Street, Population Health drives both our clinical and economic model and is focused on delivering high-quality, cost-effective care.

Members of this small and innovative team leverage Oak Street’s rapidly expanding data warehouse to develop and optimize interventions in collaboration with clinicians and subject matter experts. This role will advance the organization’s data science capabilities by building new predictive models using machine learning techniques, exploring advanced data science capabilities such as NLP, and supporting the integration and deployment of data science tools across the organization. 

The ideal candidate will have strong data science and machine learning skills, be an effective communicator and be committed to Oak Street Health’s mission to rebuild healthcare as it should be.

Responsibilities

  • Leverage Oak Street’s best-in-class data warehouse to build new predictive models focused on improving the care model and patient outcomes

  • Achieve best in class model accuracy through a collaborative approach to feature engineering

  • Co-create predictive analytic tools with clinical and business owners and support integration and deployment across organization

  • Promote innovation by exploring and testing advanced data science techniques

  • Evaluate program efficacy for various teams

  • Continue rapid iteration cycle - test, learn, deploy - for new data science products

  • Co-create and support processes to ensure data science initiatives are reliable and transparent across organization

  • Other duties as assigned

What we’re looking for

We’re looking for motivated, experienced “position” with:

  • 3+ years working with data in a healthcare or life sciences field

  • Excellent command of data science libraries in R, Python, or Julia 

  • Experience with SQL-based relational databases 

  • Understanding of the use and misuse of statistics for causal inference

  • Excellent problem-solving and analytical skills 

  • Outstanding attention to detail

  • An ability to independently pursue and implement solutions to complex problems

  • Interest in innovation 

  • US work authorization

  • Someone who embodies being “Oaky”

  • Excellent oral and written communication skills

What does being “Oaky” look like?

  • Radiating positive energy
  • Assuming good intentions
  • Creating an unmatched patient experience
  • Driving clinical excellence
  • Taking ownership and delivering results
  • Being scrappy

Why Oak Street?

Oak Street Health offers our coworkers the opportunity to be at the forefront of a revolution in healthcare, as well as:

  • Collaborative and energetic culture
  • High levels of responsibility and rapid advancement
  • Headquarters (the “Treehouse”) located in the heart of Downtown, close to many public transit options and great restaurants 
  • Competitive benefits; including paid vacation/sick time, generous 401K match with immediate vesting, as well as health benefits

Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply to oakstreethealth.com/careers.