cover image
Oscar Health

Oscar Health

www.HiOscar.com

3 Jobs

2,576 Employees

About the Company

Oscar Health is a leading healthcare technology company, whose mission is to make a healthier life accessible and affordable for all.

Listed Jobs

Company background Company brand
Company Name
Oscar Health
Job Title
Senior Software Engineer, Backend
Job Description
Job title: Senior Software Engineer, Backend Role Summary: Deliver reliable, maintainable backend services for a healthcare platform. Lead design, migration, and feature delivery; collaborate with product, design, and partner teams; uphold coding quality, scalability, and compliance standards. Expectations: • 5+ years professional software engineering experience. • Proven independent contributor who self‑directs work and delivers on schedule. • Strong understanding of CS fundamentals applied to production systems. • Familiarity with healthcare regulations and data protection requirements. • Ability to communicate complex technical ideas to cross‑functional stakeholders. Key Responsibilities: - Acquire deep expertise in the team’s business and technical domains. - Lead planning, execution, and release of complex technical projects. - Own end‑to‑end design and implementation of small to medium features or infrastructure initiatives. - Conduct step‑wise migrations of existing services and applications. - Collaborate with partners, product managers, and designers to solve challenging problems. - Mentor peers, share best practices, and contribute to continuous improvement of technology and processes. - Ensure code quality, maintainability, and compliance with applicable laws and regulations. Required Skills: - Backend development experience (Python, Golang). - Proficiency with container orchestration (Kubernetes) and observability tools (Grafana, BigQuery). - Experience with data engineering tooling (data discovery, replication, transfer) and authentication/authorization libraries. - Strong understanding of scalable, fault‑tolerant system design. - Familiarity with version control, CI/CD pipelines, and automated testing. - Ability to work independently and across a large codebase with minimal guidance. Required Education & Certifications: - Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent professional experience). - Optional certifications: Kubernetes Administration (CKA/Kubernetes), cloud platform (AWS, GCP, Azure) certifications.
Los angeles, United states
Hybrid
Senior
16-02-2026
Company background Company brand
Company Name
Oscar Health
Job Title
Applied AI Engineer
Job Description
**Job Title** Applied AI Engineer **Role Summary** Design, develop, and deploy end‑to‑end AI‑driven products that improve healthcare experiences. Own high‑impact projects from prototype to production, experimenting with generative models, RAG, and agentic workflows. Collaborate with product, design, and business teams to translate user needs into measurable outcomes. **Expectations** - Deliver production‑ready AI solutions that impact key metrics. - Demonstrate rapid experimentation and data‑driven iteration. - Maintain expertise in the AI ecosystem and integrate emerging technologies. - Communicate effectively across cross‑functional teams. **Key Responsibilities** 1. Lead the full life‑cycle of AI products: concept, prototype, deployment, and scale. 2. Build and scale full‑stack applications and intelligent agents for complex healthcare workflows. 3. Prototype and evaluate LLMs, RAG, and agentic workflows, iterating based on feedback. 4. Collaborate closely with product, design, and business stakeholders to understand requirements and measure impact. 5. Benchmark and integrate cutting‑edge AI tools (transformers, neural nets, modern frameworks). 6. Contribute to AI strategy, technical vision, and the organization’s innovation roadmap. **Required Skills** - 7+ years of software engineering, data science, or related experience. - Strong Python programming and algorithmic problem‑solving. - Experience designing & analyzing experiments, hypothesis testing, and iterative prototyping. - Knowledge of NLP, neural networks, transformers, and modern AI frameworks. - Familiarity with full‑stack development (React, Golang) or containerization/deployment (Docker, Kubernetes). - Excellent communication and cross‑functional collaboration. **Required Education & Certifications** - Bachelor’s or master’s degree in mathematics, statistics, computer science, data science, engineering, or a related field. - Certifications in AI/ML or cloud technologies are a plus. ---
New york, United states
Hybrid
Senior
18-03-2026
Company background Company brand
Company Name
Oscar Health
Job Title
Data Scientist I
Job Description
Job Title: Data Scientist I Role Summary: Early‑career data scientist focused on building and maintaining data pipelines, developing and validating analytical models, and ensuring data quality to support business decision‑making in health insurance. Expactations: Deliver reliable, accurate data; write maintainable analytical code; collaborate across data, engineering, product, and business teams; adhere to data science best practices and compliance requirements; continuously grow technical skills. Key Responsibilities: - Build, maintain, and support data pipelines for timely data delivery. - Develop, test, and refine statistical or analytical models. - Perform advanced analytical work and validation checks on datasets and model outputs. - Identify and resolve data quality issues, anomalies, and inconsistencies. - Collaborate with data leaders and cross‑functional partners to understand data needs and improve processes. - Partner with engineering, product, and stakeholders to deliver impactful solutions. - Write clear, maintainable analytical code and documentation. - Follow established data science standards, best practices, and compliance requirements. Required Skills: - Strong SQL proficiency; intermediate Python skills. - Experience building data models and applying advanced analytics beyond descriptive statistics. - Ability to write clean, well‑documented code. - Solid problem‑solving and analytical mindset. - Excellent communication and teamwork skills. - Familiarity with data pipeline concepts and data quality practices. Required Education & Certifications: - Bachelor’s degree in a technical or quantitative field (e.g., Computer Science, Statistics, Engineering, Mathematics) or equivalent professional experience (≥1 year). - Optional: Master’s degree in a technical or quantitative field. - Certifications are not required but may include SQL, Python, or data science credentials.
Phoenix, United states
Hybrid
Fresher
18-03-2026