- Страна
- США
- Зарплата
- 119 200 $ – 156 450 $
Откликайтесь
на вакансии с ИИ

Data Scientist I
Отличная вакансия для старта карьеры в известном тех-единороге с прозрачной оплатой и хорошим соцпакетом. Высокий балл обусловлен четкими требованиями, конкурентной зарплатой и возможностью профессионального роста.
Сложность вакансии
Позиция начального уровня (Data Scientist I), требующая минимум год опыта или профильное образование. Основная сложность заключается в работе с комплексными данными сферы здравоохранения и строгими требованиями к качеству кода.
Анализ зарплаты
Предлагаемая зарплата ($119k - $156k) находится на уровне или даже чуть выше рыночных медиан для Data Scientist начального уровня в Нью-Йорке, что делает предложение очень привлекательным.
Сопроводительное письмо
I am writing to express my interest in the Data Scientist I position at Oscar. As a data professional with a strong foundation in SQL and Python, I am inspired by Oscar's mission to humanize health insurance through a full-stack technology platform. My experience in building data models and performing advanced analytical work aligns perfectly with your team's focus on connecting complex datasets to improve care coordination and member experience.
In my previous projects, I have demonstrated a keen ability to build reliable data pipelines and identify data quality issues, ensuring that business decisions are backed by accurate insights. I am particularly excited about the opportunity to work in a collaborative environment where I can contribute to the development of analytical models that have a direct impact on the healthcare system. I am eager to bring my technical skills and passion for data-driven problem-solving to the Data team at Oscar.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в oscar уже сейчас
Присоединяйтесь к команде Oscar Health и создавайте будущее медицинского страхования с помощью данных!
Описание вакансии
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:
- 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.
Requirements:
- 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
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraudhere.
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 AI Guidelines 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 Privacy Policy.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- SQL
- Python
- Data Pipelines
- Statistical Modeling
- Machine Learning
- Data Analysis
- Data Quality
Возможные вопросы на собеседовании
Проверка базовых навыков манипуляции данными, необходимых для построения пайплайнов.
Опишите ваш опыт работы со сложными SQL-запросами: как вы оптимизируете запросы при работе с большими объемами данных?
Роль предполагает активное участие в обеспечении надежности данных.
Расскажите о случае, когда вы обнаружили аномалию или проблему с качеством данных. Какие шаги вы предприняли для её устранения?
Вакансия требует навыков продвинутой аналитики, а не просто описательной статистики.
Можете ли вы привести пример аналитического проекта, где вы использовали статистические методы для проверки гипотезы или прогнозирования?
Работа в Oscar подразумевает тесное взаимодействие с инженерами и продуктовыми менеджерами.
Как вы подходите к объяснению сложных технических результатов коллегам, которые не являются специалистами в области данных?
Проверка владения основным инструментом разработки в команде.
Какие библиотеки Python вы чаще всего используете для обработки данных и почему вы отдаете им предпочтение?
Похожие вакансии
ML Engineer
Junior Data Engineer (Data House, Big Data)
Data-Scientist (команда динамического ценообразования)
Senior Data Scientist
Middle Data Scientist
Старший аналитик AI/ML
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 119 200 $ – 156 450 $