Data Scientist

New York, New York, United States

Applications have closed

Oscar

Oscar offers health insurance plans for individuals and families, and small businesses. Find a plan that's right for you.

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Hi, we're Oscar. We’re hiring Data Scientists to join our Data team in our New York office. 

Oscar is a technology-driven, consumer-focused health insurance startup founded in 2012 and headquartered in New York City. Our goal is to make health insurance simple, transparent, and human. We need your help to do so.

About the role:

Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 30+ researchers, data scientists, and analysts to leverage our efforts!

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

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

Responsibilities:

As a Data Scientist at Oscar you will:

  • Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
  • Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
  • Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
  • Use statistics and machine learning to explain and predict key aspects of our business

Your specific responsibilities will be determined by the particular role.

Requirements:

  • You have 2+ years of relevant work experience or a Master’s degree in a quantitative field; we encourage you to apply if you have more experience as well as we are hiring for multiple levels of Data Scientists within the team
  • You use data science tools like SQL and Python
  • You’re excited about being (or becoming) a decision-maker, not just an analyst
  • You know when to look outside the data to solve problems

Bonus points:

  • Knowledge of or previous work experience in health care, health economics, or health insurance

Life at Oscar: 

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 and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

We encourage our members to care for their whole selves, and we encourage our employees to do the same with comprehensive medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.

Reasonable Accommodation:

Oscar applicants are considered solely based on their qualifications, without regard to applicant’s 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.

Pay Transparency Policy:

Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.

Tags: Economics Machine Learning Python SQL Statistics

Perks/benefits: Career development Health care Insurance Medical leave Parental leave Startup environment Team events Transparency Wellness

Region: North America
Country: United States
Job stats:  36  9  1
Category: Data Science Jobs

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