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# Data Scientists

- **Company:** Oscar Health, Inc.
- **Location:** New York, NY, United States
- **Salary:** $119,200.0 - $156,450.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Data Analysis, Big Data, Data Files, Python (Programming Language), Machine Learning, Standard Sql, SQL Databases, Data Processing, Scripting, Model Validation, Data Management, Data Delivery, Data Pipelines
- **Published:** September 17, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-i-new-york-ny--5cb0dfed-e541-4444-982b-289446d4020f

## About the Role

* Bachelor's degree in a technical or quantitative field or 1+ year of relevant professional experience
 * 1+ years of experience working with SQL or intermediate Python (for example, working with multiple data sources)
 * 1+ years of 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 or quantitative field
 * Experience in healthcare, health insurance, or other regulated industries
 * Exposure to statistical modeling, machine learning, or large-scale data processing, Analysis Skills, Artificial Intelligence (AI), Best Practices, Cross-Functional, Customer Experience, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Documentation, Employee Benefits, Health Insurance, Healthcare, Identify Issues, Insurance, Machine Learning, Medical Records, Model Validation, Needs Assessment, Process Improvement, Process Modeling, Python Programming/Scripting Language, Regulatory Compliance, Risk Management, SQL (Structured Query Language), Statistical Modeling, Statistics, Team Player, Time Management, Training Data Sets, Validation Testing

## Description

Oscar''s Data team is focused on pushing our understanding of this complex landscape of health care and insurance business. 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.

We're hiring several Data Scientists to support data science initiatives across multiple teams. In this role, you'll contribute to the development and maintenance of data pipelines, analytical models, and validation processes that power business decision-making.

This position is well-suited for early-career data scientists who have strong technical foundations and are excited to grow their skills while working on real-world data problems in a collaborative environment.

You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

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:

 * Build, maintain, and support data pipelines to ensure reliable, accurate, and timely data delivery.
 * Assist with the testing, validation, and refinement of statistical or analytical models.
 * Perform advanced analytical work and validation checks on datasets and model outputs.
 * Identify data quality issues, anomalies, or inconsistencies and help implement corrective solutions.
 * Collaborate with data leaders and cross-functional business partners to understand data needs and improve processes.
 * Partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.
 * Write clear, maintainable analytical code and documentation.
 * Follow established data science standards, best practices, and compliance requirements.


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