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Oscar Health // health insurance
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Hi, we're Oscar. We're hiring Data Scientists to join our team.

Oscar is the first health insurance company built around a full stack technology platform & a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselvesone that behaves like a doctor in the family.

Insurance companies sit on a trove of data that is both broad & deep, spanning financial claims, clinical medical records, & rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions & allows us to improve care coordination, better manage risk, build higher-performing provider networks, & create a standout consumer experience.

About the role

Oscar is restructuring health care to make it easy, affordable, & seamless for consumers to access high value care. Oscars data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad & deep, spanning financial claims, clinical medical records, & rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions & allows us to improve care coordination, better manage risk, build higher-performing provider networks, & create a standout consumer experience in our product. At Oscar, we are looking for bright & curious data minded individuals to join our team of 50+ researchers, data scientists, & analysts to leverage our efforts!

We are looking for several new Data team members to join us in a few of our work streams. By applying to this posting, you will be considered for a top-priority open position within the Data team; a specific role & manager will be determined during the hiring process based on the highest priority need.

Example areas you might work in are:

  • helping determine what the best doctors are in service of our strategic goals
  • working to understand the best ways we & our clients can engage members to improve outcomes
  • identifying ways our in-house medical group can improve outcomes & reduce costs

You will report into a data science leader (Senior Data Scientist or above).

Work Location

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture & our mission.

This is a hybrid role in our Los Angeles office. You will work part of the time in the office & part of the time remote / work-from-home. #LI-Hybrid

Pay Transparency

The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscars unlimited vacation program, company equity grants, & annual performance bonuses.

You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.

Responsibilities:

  • Responsible for the creation, implementation, & maintenance of data pipelines. This includes ensuring the accuracy, reliability, & timeliness of data flow without significant manager oversight.
  • Develop new models while maintaining & enhancing our existing capabilities. This involves regular model testing, validation, & refinement to ensure the models remain effective & up-to-date with the latest industry standards & practices while identifying new opportunities to extend functionality where appropriate.
  • Develop advanced analytics & validation checks on data & statistical model outputs without significant manager oversight. This includes identifying potential issues, anomalies, or inconsistencies in the data, & implementing corrective measures to ensure the integrity of our models & analyses.
  • Collaborate closely with data leaders & business teams to enhance overall data processes & establish analytical frameworks to answer ambiguous & broadly scoped questions. This involves understanding their needs & requirements, providing them with the necessary data support, & working together to develop strategies & solutions that improve our processes & outcomes.
  • Compliance with all applicable laws & regulations.
  • Other duties as assigned.

Requirements:

  • A bachelor's degree & 3+ years of industry or educational experience in a technical field.
  • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate & analyze data
  • 3+ years experience building data models & using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

Bonus points:

  • Masters degree in a technical field
  • Experience deploying a machine learning model in production
  • Knowledge of standard machine learning methods
  • Experience building dashboards
  • Experience in the healthcare, insurance and/or finance industries

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves & find both belonging & support. We're on a mission to change health care -- an experience made whole by our unique backgrounds & perspectives..

Pay Transparency: 

Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, & experience.

Full-time employees are eligible for benefits including: medical, dental, & vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life & disability insurance, & paid wellness time & reimbursements.

Reasonable Accommodation:

Oscar applicants are considered solely based on their qualifications, without regard to applicants disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

 
 
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