Data Scientist I

Oscar Health

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYLos Angeles, CATempe, AZ
Salary
$119,200–$156,450 / yr
Posted
30 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $138k
$86k most similar roles pay here $230k

This role pays less than 66% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $138k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About Oscar Health

Oscar Health is a technology-driven health insurance company offering individual, family, and small business health plans.

Oscar Health currently has 70 open roles on FindRole.

Listed pay typically runs $149,040–$195,615 across 65 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Data Scientist I

The Data Scientist I joins the Data team to support initiatives across multiple teams by building and maintaining data pipelines, developing analytical models, and performing validation processes to power business decision-making. This role involves identifying data quality issues, writing maintainable code, and collaborating with cross-functional partners to improve internal processes. The candidate will utilize SQL and intermediate Python to perform advanced analytics and build data models rather than simple descriptive analysis. The work focuses on the complex landscape of healthcare and insurance by connecting broad datasets including financial claims, clinical medical records, and product interaction data. By analyzing these sources, the role helps solve problems related to care coordination, risk management, and provider network performance within a regulated industry environment.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

What you'll do

  • Build, maintain, and support data pipelines to ensure reliable and timely data delivery.
  • Test, validate, and refine statistical or analytical models.
  • Perform advanced analytical work and validation checks on datasets and model outputs.
  • Identify data quality issues and implement corrective solutions for inconsistencies.
  • Write clear, maintainable analytical code and accompanying documentation.
  • Follow established data science standards, best practices, and compliance requirements.

What we're looking for

  • 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.
  • 1+ years of experience building data models and using advanced analytics methods for in-depth analysis.
  • Master's degree in a technical or quantitative field (preferred).
  • Experience in healthcare, health insurance, or other regulated industries (preferred).
  • Exposure to statistical modeling, machine learning, or large-scale data processing (preferred).

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