Oscar

Hi, we're Oscar. We're hiring a Senior Analytics Engineer to join our Data Team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless 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:
The Senior Analytics Engineer designs, builds, and maintains conformed dimensional models that convert raw operational data from multiple independent source systems into reliable, well-structured analytical assets spanning multiple business domains. The Senior Analytics Engineer partners with domain experts and stakeholders to capture business logic, resolves cross-source inconsistencies, and translates requirements into Oscar’s unified dimensional model. The Senior Analytics Engineer contributes to shared conventions and standards, mentors more junior team members, uses AI to accelerate development, and operates with high independence on complex modeling work
You will report into the Associate Director, Data Science.
Work Location: This position is based in our New York City 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: $149,040 - $195,615 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Responsibilities:
<ul>
<li>Partner with domain experts and stakeholders to understand business logic and translate it into dimensional models within Oscar's unified data foundation.</li>
<li>Design, build, and maintain conformed dimensional models in dbt spanning multiple business domains, including source-to-target mapping, historical change tracking, and shared dimension governance.</li>
<li>Resolve cross-source inconsistencies when integrating independently-built upstream systems, ensuring data from different origins conforms to shared definitions and enables analysts to answer questions that span domains.</li>
<li>Contribute to the design and implementation of semantic layer artifacts that support enterprise business intelligence needs.</li>
<li>Lead cross-functional mid-to-long term projects focused on optimizing, scaling, and improving analytics data transformation solutions, with a focus on efficiency, cost-effectiveness, and stability.</li>
<li>Ensure data models and transformations align with established Data Governance principles.</li>
<li>Expand the coverage of data quality checks and enhance monitoring and alerting pipelines to ensure the reliability and accuracy of analytics outputs.</li>
<li>Develop deep expertise in Oscar's analytics technologies, tools, and business domains, contributing to the continuous improvement of Oscar's analytics ecosystem.</li>
<li>Provide training and mentorship to more junior team members, cultivate a culture of excellence in analytics engineering, and foster continuous skill development.</li>
<li>Use AI to accelerate development, improve quality, and solve problems.</li>
<li>Compliance with all applicable laws and regulations.</li>
<li>Other duties as assigned.</li>
</ul>
Requirements:
<ul>
<li>4+ years of experience in Analytics Engineering, Data Engineering, or a related field.</li>
<li>3+ years of experience working with SQL to transform and model data at scale.</li>
<li>2+ years of experience building dimensional models (star schemas, slowly changing dimensions, surrogate key management).</li>
<li>Experience designing conformed dimensional models spanning 2 or more distinct business domains or processes.</li>
<li>2+ years of experience developing within a modern data transformation tool such as dbt.</li>
<li>2+ years of experience with cloud data platforms (GCP, AWS, Azure).</li>
<li>2+ years of experience partnering with domain experts or stakeholders to translate business requirements into data models.</li>
<li>Experience using AI tools to accelerate development workflows.</li>
</ul>
Bonus points:
<ul>
<li>Experience designing and implementing semantic layers.</li>
<li>Experience integrating data from multiple independent source systems into a unified analytical foundation.</li>
<li>Experience with Google Cloud Platform.</li>
<li>Experience in the healthcare and/or insurance industries.</li>
<li>Strong communication skills, verbal and written, as demonstrated by experience on projects or initiatives requiring communication between technical and non-technical users.</li>
</ul><div>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud<a href="http://hioscar.com/careers/recruitment-fraud-alert" rel="noopener noreferrer ugc" target="_blank"> here</a>. 
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.
Artificial Intelligence (AI): Our <a href="http://hioscar.com/careers/ai-guidelines" target="_blank" rel="noopener noreferrer ugc">AI Guidelines</a> outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
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 <a href="https://www.hioscar.com/legal/privacy/" rel="noopener noreferrer ugc" target="_blank">Privacy Policy</a>.</div>

Senior Analytics Engineer

Hi, we're Oscar. We're hiring a Data Scientist I to join our Data team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless 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:
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:
<ul>
<li>Build, maintain, and support data pipelines to ensure reliable, accurate, and timely data delivery.</li>
<li>Assist with the testing, validation, and refinement of statistical or analytical models.</li>
<li>Perform advanced analytical work and validation checks on datasets and model outputs.</li>
<li>Identify data quality issues, anomalies, or inconsistencies and help implement corrective solutions.</li>
<li>Collaborate with data leaders and cross-functional business partners to understand data needs and improve processes.</li>
<li>Partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.</li>
<li>Write clear, maintainable analytical code and documentation.</li>
<li>Follow established data science standards, best practices, and compliance requirements.</li>
</ul>
Requirements:
<ul>
<li>Bachelor’s degree in a technical or quantitative field or 1+ year of relevant professional experience</li>
<li>1+ years of experience working with SQL or intermediate Python (for example, working with multiple data sources)</li>
<li>1+ years of experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis</li>
</ul>
Bonus points:
<ul>
<li>Master’s degree in a technical or quantitative field</li>
<li>Experience in healthcare, health insurance, or other regulated industries</li>
<li>Exposure to statistical modeling, machine learning, or large-scale data processing</li>
</ul><div>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud<a href="http://hioscar.com/careers/recruitment-fraud-alert" rel="noopener noreferrer ugc" target="_blank"> here</a>. 
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.
Artificial Intelligence (AI): Our <a href="http://hioscar.com/careers/ai-guidelines" target="_blank" rel="noopener noreferrer ugc">AI Guidelines</a> outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
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 <a href="https://www.hioscar.com/legal/privacy/" rel="noopener noreferrer ugc" target="_blank">Privacy Policy</a>.</div>

Data Scientist I

Hi, we're Oscar. We're hiring an Analytics Engineer I to join our Data Team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless 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:
The Analytics Engineer I designs, builds, and maintains dimensional models and data transformations that convert raw operational data into reliable, well-structured analytical assets. You’ll work within Oscar’s unified data foundation in dbt, partnering with domain experts and stakeholders to capture business logic and translate it into dimensional models that serve analytics use cases across the organization. Under the guidance of more senior Analytics Engineers, you’ll build and maintain models, implement automated tests to ensure long-term data product health, and contribute to the semantic layer that powers enterprise business intelligence. This is a hands-on role focused on growing your craft in dimensional modeling, SQL, and analytics engineering within a healthcare environment.
You will report into the Associate Director, Data Science. 
Work Location: This position is based in our New York City 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.
Pay Transparency: The base pay for this role is: $106,812 - $140,190.75 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Responsibilities:
<ul>
<li>Demonstrates a strong working knowledge of Oscar's analytics technologies and tools as well as the breadth of content contained within.</li>
<li>Contribute to the development and documentation of best practices for engineering and analytics development, consistent with industry standards and internal guidelines.</li>
<li>Under the guidance of more senior Analytics Engineers, partner with Subject Matter Experts and Business stakeholders to explore data, define business requirements, design and implement solutions for one or more data transformation and/or downstream semantic layer systems.</li>
<li>Advance the Analytics Engineering roadmap by executing on small-to-medium projects with minimal oversight</li>
<li>Contribute to the administration of the analytics platform, including but not limited to active participation in support channels and actioning  access requests.</li>
<li>Leverage a working knowledge of existing data quality checks as well as monitoring and alerting pipelines to perform Root Cause Analyses of data defects as needed and escalate to the appropriate team when warranted.</li>
</ul>
Requirements:
<ul>
<li>1+ years of experience in Analytics Engineering, Data Science, or a related field.</li>
<li>1+ years of experience working with SQL.</li>
<li>1+ years of experience developing in a semantic modeling language (e.g. LookML).</li>
<li>1+ years of experience developing within a modern data transformation tool like DBT.</li>
<li>1+ years of experience with cloud database tools (GCP, AWS, Azure).</li>
</ul>
Bonus points:
<ul>
<li>Experience working with healthcare or insurance industry data, analytics, and reporting.</li>
<li>Experience with Google Cloud Platform and dbt.</li>
<li>Experience building dimensional models (star schemas, slowly changing dimensions).</li>
<li>Strong communication skills, as demonstrated by experience partnering with non-technical stakeholders.</li>
</ul><div>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud<a href="http://hioscar.com/careers/recruitment-fraud-alert" rel="noopener noreferrer ugc" target="_blank"> here</a>. 
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.
Artificial Intelligence (AI): Our <a href="http://hioscar.com/careers/ai-guidelines" target="_blank" rel="noopener noreferrer ugc">AI Guidelines</a> outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
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 <a href="https://www.hioscar.com/legal/privacy/" rel="noopener noreferrer ugc" target="_blank">Privacy Policy</a>.</div>

Analytics Engineer I

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless 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:
Oscar's data team is focused on pushing our understanding of the complex landscape of the healthcare 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. The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that quantify Oscar's clinical risk and power our risk adjustment submissions—work that directly impacts Oscar's financial performance and strategic decision-making.
As a Senior Data Scientist on this team, you will design, build, and maintain systems that automate manual business processes across the risk adjustment space. Our Actuarial team will be your core stakeholders, and you will also partner with our internal Risk Adjustment team and other business functions. You will work closely with these stakeholders to understand their processes, then bring those workflows into our data science infrastructure—re-engineering them to be more robust, accurate, and feature-rich. This is a builder-focused role: the ideal candidate is energized by taking an ambiguous, manual process and turning it into well-engineered, validated, and maintainable production systems.
You will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs against existing processes, and iterating after launch. Beyond individual projects, you will help shape the technical direction of the team's risk adjustment models and infrastructure, and provide informal mentorship to junior data scientists.
You will report to the Senior Manager, Data Science on the Risk Adjustment team.
Work Location: This position is based in our New York City 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: $163,944 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Responsibilities:
<ul>
<li>Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical systems supporting Oscar's clinical risk adjustment quantification and submissions processes</li>
<li>Partners closely with business stakeholders including the Actuarial and Risk Adjustment teams—to translate manual processes into automated, validated, and feature-rich systems</li>
<li>Owns projects end-to-end, including problem definition, technical design, implementation, validation against existing processes, and post-launch iteration</li>
<li>Interacts and collaborates closely with data and business counterparts across functional areas</li>
<li>Works with team and manager to impact longer term strategies and roadmap</li>
<li>Provides informal mentorship to junior data scientists</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned </li>
</ul>
Requirements:
<ul>
<li>4+ years of industry or other quantitative technical fields (which may include academia).</li>
<li>3+ years of work experience working with SQL and Python to query, manipulate, and analyze data</li>
<li>3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing</li>
<li>Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing</li>
</ul>
Bonus points:
<ul>
<li>Advanced degree in a quantitative or technical field</li>
<li>Experience in the healthcare, finance and/or insurance industries</li>
<li>Experience with risk adjustment, actuarial processes, or health insurance financial modeling</li>
<li>Experience converting manual or spreadsheet-based analytical processes into automated production systems</li>
<li>Experience with modern data and orchestration tooling (e.g., BigQuery, dbt, Dataflow) and cloud platforms</li>
</ul><div>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud<a href="http://hioscar.com/careers/recruitment-fraud-alert" rel="noopener noreferrer ugc" target="_blank"> here</a>. 
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.
Artificial Intelligence (AI): Our <a href="http://hioscar.com/careers/ai-guidelines" target="_blank" rel="noopener noreferrer ugc">AI Guidelines</a> outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
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 <a href="https://www.hioscar.com/legal/privacy/" rel="noopener noreferrer ugc" target="_blank">Privacy Policy</a>.</div>

Senior Data Scientist

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless 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:
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.
As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you’ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.
This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. ​​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: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Responsibilities:
<ul>
<li>Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions</li>
<li>Own projects end-to-end, including problem definition, implementation, validation, and iteration</li>
<li>Deliver high-quality analytical and modeling outputs with limited manager oversight</li>
<li>Collaborate closely with data science peers and cross-functional partners across business units</li>
<li>Help ensure data science processes and outputs align with broader team strategies and roadmaps</li>
<li>Provide guidance or informal mentorship to junior data scientists or analysts when needed</li>
<li>Contribute to improving data science practices, tooling, and documentation</li>
</ul>
Requirements:
<ul>
<li>3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)</li>
<li>2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data</li>
<li>2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing</li>
</ul>
Bonus points:
<ul>
<li>Master’s degree in a quantitative or technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
<li>Experience mentoring or supporting junior team members</li>
<li>Experience deploying or supporting models in production environments</li>
</ul><div>This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud<a href="http://hioscar.com/careers/recruitment-fraud-alert" rel="noopener noreferrer ugc" target="_blank"> here</a>. 
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.
Artificial Intelligence (AI): Our <a href="http://hioscar.com/careers/ai-guidelines" target="_blank" rel="noopener noreferrer ugc">AI Guidelines</a> outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
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 <a href="https://www.hioscar.com/legal/privacy/" rel="noopener noreferrer ugc" target="_blank">Privacy Policy</a>.</div>

Oscar

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Senior Analytics Engineer

Data Scientist I

Analytics Engineer I

Senior Data Scientist

Data Scientist II

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