- Страна
- США
- Зарплата
- 158 400 $ – 207 900 $
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Senior Data Scientist, Advanced Risk Modeling
Отличная вакансия в известном технологичном стартапе с прозрачной вилкой зарплаты и современным стеком (LLM, Vertex AI). Высокий балл обусловлен сильным социальным пакетом, включая опционы и безлимитный отпуск, несмотря на гибридный график.
Сложность вакансии
Роль требует глубоких знаний в области ML Ops и опыта работы с современными платформами (Vertex AI), а также владения LLM и агентными фреймворками. Высокая планка ожиданий обусловлена необходимостью работы с крупными медицинскими данными и интеграции моделей в бизнес-процессы.
Анализ зарплаты
Предложенная зарплата ($158k - $208k) полностью соответствует рыночным стандартам для Senior Data Scientist в Нью-Йорке, где медиана составляет около $185k. Верхняя граница вилки даже несколько превышает средние показатели для аналогичных ролей в сфере HealthTech.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist position at Oscar. With over four years of experience in quantitative fields and a deep expertise in building production-level machine learning models, I am excited about the opportunity to apply advanced AI methodologies to Oscar's risk adjustment domain. My background in developing sophisticated regression, classification, and NLP models aligns perfectly with your mission to build a tech-driven health insurance platform.
In my previous roles, I have successfully leveraged modern ML Ops platforms like Vertex AI to deploy and maintain robust models that solve complex business challenges. I am particularly drawn to Oscar's focus on utilizing LLMs and agentic frameworks to improve clinical and business outcomes. I am confident that my technical skills in Python and SQL, combined with my ability to collaborate across engineering and product teams, will allow me to make a significant impact on your Data Team.
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Описание вакансии
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:
The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain.
You will report into the Director of Data
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: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Responsibilities:
- Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors.
- Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain.
- Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models.
- Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems.
- Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment.
- Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems.
- Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units.
- Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows.
Requirements:
- 4+ years of industry or other quantitative technical fields (which may include academia).
- 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
- 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
Bonus points:
- Advanced degree in a quantitative or technical field
- Experience in the healthcare, finance and/or insurance industries
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.
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Навыки
- Python
- SQL
- R
- Machine Learning
- Deep Learning
- NLP
- Large Language Models
- Vertex AI
- MLOps
- Statistics
- Feature Engineering
- Gradient Boosting
Возможные вопросы на собеседовании
Проверка опыта работы с современными инструментами развертывания, упомянутыми в вакансии.
Расскажите о вашем опыте работы с Vertex AI или аналогичными ML Ops платформами для вывода моделей в продакшн.
Вакансия предполагает использование LLM для решения бизнес-задач.
Как бы вы подошли к оценке качества и безопасности LLM-агента в контексте обработки медицинских данных?
Риск-менеджмент требует высокой точности и интерпретируемости.
Какие методы борьбы с пропусками в данных и несбалансированными выборками вы считаете наиболее эффективными для задач медицинского страхования?
Роль подразумевает тесное взаимодействие с бизнесом.
Опишите случай, когда вам пришлось переводить сложную бизнес-проблему на язык Data Science. Какого результата удалось достичь?
Проверка навыков проектирования систем мониторинга.
Как вы организуете мониторинг дрейфа данных (data drift) для моделей, работающих в реальном времени?
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- Страна
- США
- Зарплата
- 158 400 $ – 207 900 $