- Страна
- США
- Зарплата
- 158 400 $ – 207 900 $
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Senior Data Scientist, Data & Member Behavior
Отличная позиция в известном технологичном стартапе с прозрачной оплатой, хорошим соцпакетом и возможностью напрямую влиять на здоровье людей. Гибридный формат работы в крупных городах США добавляет привлекательности для местных кандидатов.
Сложность вакансии
Роль требует глубоких знаний в области машинного обучения (включая Causal ML и MAB) и опыта работы в сложных регулируемых отраслях, таких как здравоохранение или финансы. Высокий уровень ответственности за бизнес-результаты и необходимость кросс-функционального взаимодействия повышают планку требований.
Анализ зарплаты
Предлагаемая зарплата ($158k - $208k) находится на верхнем уровне рыночного диапазона для Senior Data Scientist в США, особенно учитывая дополнительные бонусы и опционы. Это конкурентоспособное предложение для технологического сектора в таких локациях, как Нью-Йорк или Сан-Франциско.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist position at Oscar Health. With over four years of experience in quantitative fields and a proven track record of building predictive models and data pipelines, I am excited about the opportunity to contribute to your mission of making health insurance more member-centric. My background in developing multi-channel marketing campaigns and utilizing advanced statistical methods aligns perfectly with your goal of influencing member behavior to improve health outcomes.
In my previous roles, I have successfully leveraged SQL, Python, and machine learning techniques to drive business value and optimize customer engagement. I am particularly drawn to Oscar's unique tech-driven approach and the chance to work cross-functionally with marketing and clinical teams. I am confident that my technical expertise in causal machine learning and optimization, combined with my passion for healthcare innovation, will allow me to make a significant impact on your team and help lower medical costs through data-driven insights.
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Откликнитесь в oscar уже сейчас
Присоединяйтесь к команде Oscar Health и используйте свои навыки в Data Science для трансформации индустрии медицинского страхования!
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.
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Навыки
- SQL
- Python
- R
- Machine Learning
- Statistical Modeling
- Causal Inference
- Multi-armed Bandits
- Data Pipelines
- Predictive Modeling
Возможные вопросы на собеседовании
Позиция предполагает работу над кампаниями по изменению поведения участников. Важно понимать, как кандидат оценивает реальный эффект вмешательства.
Как бы вы спроектировали эксперимент для измерения причинно-следственного эффекта маркетинговой кампании на медицинские расходы, учитывая возможные смещения в данных?
В описании упоминаются многорукие бандиты (MAB). Это критично для оптимизации кампаний в реальном времени.
Можете ли вы объяснить принцип работы алгоритма Thompson Sampling и в каких сценариях его использование предпочтительнее традиционного A/B тестирования?
Роль требует работы с данными и построения пайплайнов. SQL — базовый инструмент.
Опишите сложный SQL-запрос, который вы оптимизировали. С какими проблемами производительности вы столкнулись при работе с большими объемами данных о пользователях?
Вакансия подразумевает тесное сотрудничество с маркетинговыми и клиническими отделами.
Расскажите о случае, когда вам нужно было объяснить сложную статистическую модель нетехническим стейкхолдерам. Как вы убедили их в правильности вашего подхода?
Работа в Oscar связана с конфиденциальными медицинскими данными.
Какие этические аспекты и вопросы конфиденциальности данных вы учитываете при разработке предиктивных моделей для сферы здравоохранения?
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- Страна
- США
- Зарплата
- 158 400 $ – 207 900 $