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

Data Scientist I
Отличное предложение для старта карьеры с конкурентной зарплатой, прозрачными бонусами и возможностью работы в технологичном стартапе. Гибридный график и сильный социальный пакет делают вакансию очень привлекательной.
Сложность вакансии
Позиция начального уровня (Data Scientist I), требующая минимум год опыта или соответствующее образование. Основная сложность заключается в необходимости работы с комплексными данными в регулируемой индустрии здравоохранения.
Анализ зарплаты
Предлагаемая зарплата ($119k - $156k) находится на уровне или даже выше рыночных ожиданий для Data Scientist начального уровня в таких локациях, как Темпе, и соответствует уровню Нью-Йорка. Дополнительные бонусы и акции компании значительно увеличивают общую компенсацию.
Сопроводительное письмо
I am writing to express my interest in the Data Scientist I position at Oscar. With a strong foundation in SQL and Python, along with experience in building analytical models, I am eager to contribute to your mission of simplifying health insurance through data-driven insights. My background in quantitative analysis aligns well with Oscar's focus on leveraging complex datasets to improve member experiences and operational efficiency.
I am particularly drawn to this role because of Oscar's unique position as a technology-driven insurer. I am excited about the opportunity to work on real-world data problems, from refining statistical models to maintaining robust data pipelines. I look forward to the possibility of bringing my technical skills and collaborative mindset to your Data team and growing alongside industry leaders in New York, Los Angeles, or Tempe.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в oscar уже сейчас
Присоединяйтесь к команде Oscar и используйте свои навыки в Data Science для трансформации индустрии медицинского страхования!
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 Modeling
- Statistical Modeling
- Machine Learning
- Data Pipelines
- Analytics
Возможные вопросы на собеседовании
Проверка базовых навыков манипуляции данными, необходимых для построения пайплайнов.
Опишите ваш опыт работы с SQL: как вы справляетесь с объединением данных из множества разнородных источников?
Оценка способности кандидата выходить за рамки простой описательной статистики.
Расскажите о проекте, где вы использовали продвинутые методы аналитики или статистическое моделирование для решения бизнес-задачи.
Важная часть роли — обеспечение надежности данных.
Как вы подходите к поиску аномалий и проверке качества данных в новых датасетах?
Работа в Oscar предполагает тесное взаимодействие с инженерами и продуктовыми менеджерами.
Приведите пример, когда вам нужно было объяснить сложные технические выводы нетехническому коллеге.
Проверка навыков написания поддерживаемого кода.
Каких стандартов написания кода и документации вы придерживаетесь при разработке аналитических моделей?
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 $