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Data Scientist

Hi, we're Oscar. We're hiring Data Scientists to join our Data team.

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

About the role

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.

You will work across the organization to help develop data pipelines, models, reports and analytics that can help improve our processes.

You will report into a data science leader (Associate Director+).

Work Location: 

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

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role. 

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $119,200 - $156,450 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

  • Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.
  • Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.
  • Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.
  • Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.
  • Other duties as assigned

Qualifications

  • A bachelor's degree in a technical field OR 1+ years of relevant work experience
  • 1+ years experience working with SQL or Python
  • 1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

Bonus Points

  • Master's degree in a technical field
  • Knowledge of or previous work experience in health care or health insurance

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 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.

Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

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.

California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Notice to Job Applicants.

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CEO of Oscar Health
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Mark Bertolini
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Average salary estimate

$137825 / YEARLY (est.)
min
max
$119200K
$156450K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Oscar Health

At Oscar, we're on the hunt for passionate Data Scientists to join our innovative Data team! Launched in 2012, Oscar has always aimed to revolutionize health insurance through a robust technology platform that truly serves our members. As a Data Scientist here, you'll tap into a wealth of data that ranges from financial claims to clinical medical records, giving you the power to unearth insights that drive change in the healthcare system. Your role will be pivotal in developing data pipelines, models, and analytics that enhance care coordination and consumer experiences. Working closely with data leaders and business teams, you'll help foster a culture of collaboration and data integrity. Our team thrives on creativity and insight, so your contributions will directly impact our mission to be an insurance company that feels like family, guiding members with heart. While we embrace flexible remote work, you’ll join a connected culture that values personal engagement, including opportunities to come into any of our vibrant offices in New York City, Tempe, or Los Angeles. This role will also allow you to enjoy fantastic benefits, including unlimited vacation, company equity grants, and performance bonuses while contributing to a mission that matters. Ready to make waves in healthcare with us?

Frequently Asked Questions (FAQs) for Data Scientist Role at Oscar Health
What qualifications do I need to apply for the Data Scientist position at Oscar?

To apply for the Data Scientist role at Oscar, candidates should hold a bachelor's degree in a technical field or have at least 1 year of relevant experience. Additionally, proficiency in SQL or Python is essential, along with experience in building data models and advanced analytics methods.

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What does a typical day look like for a Data Scientist at Oscar?

A typical day for a Data Scientist at Oscar involves collaborating with various departments to develop and maintain data pipelines, analyze healthcare data, and enhance predictive models. You'll be part of a team that champions data integrity and insight generation to improve the healthcare experience.

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Can I work remotely as a Data Scientist at Oscar?

Yes, the Data Scientist position at Oscar allows for remote work! While we encourage team connections through occasional office visits, you can perform the majority of your work from the comfort of your home if you reside in one of the designated states.

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What are the benefits offered to Data Scientists at Oscar?

Oscar offers a comprehensive benefits package for Data Scientists, including medical, dental, and vision insurance, unlimited vacation, annual performance bonuses, and company equity grants. You'll also have access to wellness programs and 401(k) plan participation.

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What kind of projects will I work on as a Data Scientist at Oscar?

As a Data Scientist at Oscar, you will engage in projects that involve creating and maintaining data pipelines and models, conducting in-depth data analysis, and collaborating with various teams to improve risk adjustment processes. Your work will directly contribute to optimizing the member experience.

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Is experience in healthcare necessary for the Data Scientist role at Oscar?

While not mandatory, having knowledge of or previous experience in healthcare or health insurance can be a bonus for the Data Scientist position at Oscar. This background can enhance your ability to connect with the data and drive insights specific to healthcare challenges.

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What growth opportunities exist for Data Scientists at Oscar?

At Oscar, Data Scientists are encouraged to grow and develop within the company. Opportunities for advancement can lead to roles with increased responsibilities, whether in technical domains or management tracks, supported by our commitment to employee development and learning.

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Common Interview Questions for Data Scientist
Can you explain your experience with building data pipelines?

When answering this question, highlight specific projects where you built data pipelines, including the tools and technologies you used, such as Python or SQL. Discuss the challenges you faced and how you ensured data integrity and accuracy throughout the process.

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What is your approach to validating and testing machine learning models?

Discuss the importance of model validation and testing methodologies you implement, such as cross-validation or A/B testing. Explain how you monitor model performance over time and your approach to refining models based on feedback and results.

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How do you handle missing or inconsistent data?

When addressing this question, share specific strategies you employ for managing missing values, including imputation techniques or decision-making based on context. Highlight the importance of documenting your decisions and ensuring data integrity.

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Describe a time when you had to collaborate with a non-technical team. How did you ensure effective communication?

Demonstrate your interpersonal skills by sharing a scenario where you explained complex data concepts to a non-technical audience. Emphasize the methods you used to bridge communication gaps and ensure the team's goals aligned with data insights.

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What statistical methods are you most comfortable using, and how have you applied them?

In your response, outline some statistical methods you are familiar with—such as regression analysis, hypothesis testing, or clustering—and provide concrete examples of projects where you applied these techniques to solve problems.

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How do you prioritize projects when competing deadlines arise?

Discuss your time management and prioritization strategies when faced with tight deadlines. You could mention frameworks like the Eisenhower Matrix or agile methodologies to illustrate your organizational skills and ability to remain adaptable.

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Can you provide an example of a project where your analysis impacted business decisions?

Here, recount a specific project where your analysis led to actionable insights that influenced business strategy or operations. Emphasize the results and how your contributions were recognized within the company.

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What techniques do you use for data visualization?

Share your experience with visualization tools like Tableau or Python libraries such as Matplotlib and Seaborn. Focus on how you choose the appropriate visualization to convey complex data trends and aid in decision-making for non-technical stakeholders.

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How do you keep up with the latest advancements in data science?

Demonstrate your commitment to professional growth by discussing resources you utilize for staying informed, including blogs, webinars, online courses, or community events. Mention any relevant certifications or personal projects that highlight your engagement with the data science field.

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What interests you most about working at Oscar as a Data Scientist?

Express enthusiasm for Oscar's mission to change healthcare through technology and data-driven insights. Highlight your alignment with the company's values and your excitement to contribute to a team focused on improving the member experience and making a positive impact.

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Oscar Health is an American health insurance company headquartered in New York City. Through telemedicine, healthcare-focused technology interfaces, and clear claims pricing systems, the company focuses on the health insurance market.

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Full-time, remote
DATE POSTED
November 26, 2024

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