- Страна
- США
- Зарплата
- 158 400 $ – 207 900 $
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Senior Data Scientist, Data & Member Behavior (Campaign Optimization)
Отличная позиция в известном технологичном стартапе с прозрачной оплатой труда, хорошим соцпакетом и возможностью работать над социально значимыми задачами. Гибридный график и высокие требования к квалификации делают вакансию привлекательной для опытных специалистов.
Сложность вакансии
Роль требует глубоких знаний в области причинно-следственного машинного обучения (Causal ML) и многоруких бандитов (MAB), а также опыта работы в строго регулируемых отраслях, таких как страхование или здравоохранение. Высокая планка ответственности за бизнес-результаты кампаний добавляет сложности.
Анализ зарплаты
Предлагаемая зарплата ($158k - $208k) полностью соответствует рыночным стандартам для Senior Data Scientist в Нью-Йорке, где медиана составляет около $180k-190k. Верхняя граница диапазона выше среднего, что делает предложение конкурентоспособным.
Сопроводительное письмо
Dear Hiring Team,
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 transforming health insurance through technology. My background in developing personalized multi-channel marketing campaigns and utilizing optimization techniques like Multi-Armed Bandits aligns perfectly with the responsibilities of this role.
In my previous work, I have focused on driving member engagement and optimizing business outcomes through rigorous statistical analysis and causal machine learning. I am particularly drawn to Oscar's unique position in the healthcare industry and your focus on a full-stack technology platform. I am confident that my technical skills in Python, SQL, and advanced modeling, combined with my ability to collaborate cross-functionally with marketing and clinical teams, will allow me to make a significant impact on lowering medical costs and improving member health.
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Откликнитесь в oscar уже сейчас
Присоединяйтесь к Oscar Health, чтобы создавать инновационные решения в сфере медицинского страхования с использованием передовых методов машинного обучения!
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
- R
- Python
- Machine Learning
- Statistical Modeling
- Causal Inference
- Multi-armed Bandits
- Data Pipelines
- Predictive Modeling
Возможные вопросы на собеседовании
Роль предполагает использование MAB для оптимизации маркетинговых вариантов в реальном времени.
Можете ли вы объяснить, как бы вы внедрили алгоритм Multi-Armed Bandit для выбора лучшего варианта коммуникации с клиентом, и как вы будете балансировать исследование (exploration) и эксплуатацию (exploitation)?
Вакансия требует измерения эффективности кампаний с помощью причинно-следственного вывода.
Какие методы Causal Inference вы бы использовали для оценки влияния маркетинговой кампании на медицинские расходы, если проведение классического A/B теста невозможно?
Работа подразумевает тесное взаимодействие с клиническими и маркетинговыми отделами.
Опишите случай, когда вам нужно было объяснить сложную статистическую модель нетехническим стейкхолдерам. Как вы убедили их в надежности ваших выводов?
Вакансия требует навыков работы с данными и построения пайплайнов.
Как вы обеспечиваете масштабируемость и надежность ваших ML-пайплайнов при работе с большими объемами данных о поведении пользователей?
Основная цель роли — снижение медицинских затрат.
Как бы вы подошли к определению целевой метрики для кампании, направленной на изменение поведения участников, чтобы это действительно коррелировало с долгосрочным снижением затрат?
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- Страна
- США
- Зарплата
- 158 400 $ – 207 900 $