- Страна
- США
- Зарплата
- 158 400 $ – 207 900 $
Откликайтесь
на вакансии с ИИ

Senior Data Scientist, Data & Member Behavior
Отличная вакансия в известном HealthTech единороге с прозрачной оплатой, бонусами и опционами. Высокая социальная значимость продукта и использование передовых технологий (Causal ML, MAB) делают роль очень привлекательной для профессионального роста.
Сложность вакансии
Роль требует высокого уровня ответственности за бизнес-результаты и глубоких знаний в области причинно-следственного вывода (causal ML) и оптимизации. Ожидается опыт работы более 4 лет и умение работать на стыке маркетинга, медицины и анализа данных.
Анализ зарплаты
Предлагаемая зарплата ($158k - $208k) полностью соответствует рыночным стандартам для Senior Data Scientist в Лос-Анджелесе и Нью-Йорке. Верхняя граница диапазона даже несколько превышает медиану, учитывая дополнительные бонусы и акции.
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 proven track record of building predictive models to drive business outcomes, I am excited about the opportunity to apply my expertise to Oscar's mission of humanizing health insurance. My background in developing multi-channel marketing campaigns and utilizing advanced statistical techniques aligns perfectly with your goal of influencing member behavior to improve health outcomes.
In my previous roles, I have specialized in creating end-to-end ML pipelines and implementing optimization techniques like Multi-Armed Bandits to refine real-time campaign performance. I am particularly drawn to Oscar's unique tech-driven approach and the chance to work cross-functionally with clinical and marketing teams. I am confident that my technical proficiency in Python and SQL, combined with my experience in causal inference and measurement, will allow me to make immediate contributions to your Data & Member Behavior team.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в oscar уже сейчас
Присоединяйтесь к команде Oscar и используйте свои навыки в Data Science, чтобы реально улучшить качество медицинского обслуживания миллионов людей!
Описание вакансии
Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team.
Oscar is the first health insurance company built around a full stack technology platform and a 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 is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning).
You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign.
You will report to the Senior Director, Data Science.
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 OR remote, if you're located in Boston or the San Francisco Bay Area. 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
- Works with team and manager to impact longer term strategies and roadmap
- Sets shorter term roadmap for team
- Interacts and collaborates closely with data and business counterparts across functional areas
- Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
- Compliance with all applicable laws and regulations
- Other duties as assigned
Qualifications
- 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
Travel
Up to 5%
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
- Python
- SQL
- R
- Machine Learning
- Predictive Modeling
- Statistical Modeling
- Causal Inference
- Multi-armed Bandits
- Data Pipelines
- Marketing Analytics
Возможные вопросы на собеседовании
Вакансия предполагает работу над кампаниями по изменению поведения участников. Важно понимать, как кандидат оценивает реальный эффект модели.
Как бы вы спроектировали эксперимент для оценки влияния маркетинговой кампании на снижение медицинских расходов, учитывая долгосрочный характер данных?
В описании упоминаются методы оптимизации, такие как Multi-Armed Bandits (MAB).
В каких ситуациях вы бы предпочли использовать Multi-Armed Bandits вместо традиционного A/B тестирования для оптимизации маркетинговых вариантов?
Роль требует работы с данными о поведении участников и клиническими данными.
Расскажите о вашем опыте работы с несбалансированными данными при прогнозировании редких, но критически важных событий в поведении пользователей.
Позиция предполагает тесное сотрудничество с маркетинговыми и клиническими отделами.
Опишите случай, когда вам пришлось объяснять сложную ML-модель нетехническим стейкхолдерам. Как вы убедили их в надежности ваших выводов?
Упоминается использование Causal Machine Learning.
Какие методы причинно-следственного вывода вы использовали ранее для разделения корреляции и причинно-следственной связи в данных о вовлеченности пользователей?
Похожие вакансии
Senior Data инженер
Data Engineer / SAP HANA Developer (Senior)
Data Scientist (Senior / middle+)
Senior Data Scientist
Senior MLOps
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
- 158 400 $ – 207 900 $