Data Scientist - Clinical Risk Modeling

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Company: Oak Street Health

Title: Data Scientist

Company Description

Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street's care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients' health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit  http://www.oakstreethealth.com.

Role Description

Oak Street Health is looking for an data scientist to join our care and risk modeling team. This team is responsible for delivering high quality modern data solutions through collaboration with engineers, analysts, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided.  In this position, you will be responsible for taking on new initiatives associated with enhancements, expansion, maintenance and scaling in data science. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you from inception through production.

Core 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.

• Explore, validate, interpret, and summarize large amounts of data with various types/structures using advanced statistical and mathematical approaches.

• Build dashboards and data visualizations to effectively communicate analysis results and support decision making processes with stakeholders.

• Collaborate closely with clinical and business owners to integrate predictive applications across the organization.

• Other duties as assigned.

Required Qualifications

• Bachelor's degree and 1+ years of relevant analytics experience.

• Experience using SQL and Python in a cloud (GCP, Azure, AWS) to solve analytical problems.

• Experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.

Preferred Qualifications

• Experience applying data science techniques such as predictive modeling, clustering, forecasting, etc. to solve organizational healthcare tasks.

• Excellent command of data science libraries in Python or R.

• Strong written and verbal communication skills, including the ability to present complex ideas to various audiences.

• Excellent problem-solving and analytical skills.

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

• Outstanding attention to detail.

• Someone who embodies being “Oaky”

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

Anticipated Weekly Hours

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