- Страна
- США
- Зарплата
- 143 374 $ – 210 544 $
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Sr. Data Scientist, Pricing
Отличная вакансия с прозрачным диапазоном зарплаты, удаленным форматом работы и социально значимой миссией в сфере HealthTech. Высокие требования компенсируются сильным стеком технологий и возможностями для лидерства.
Сложность вакансии
Роль требует глубоких знаний в узких областях, таких как эластичность цен и оптимизация под ограничениями, а также более 6 лет опыта. Высокая планка ответственности за внедрение моделей в продакшн и менторство команды.
Анализ зарплаты
Предложенная зарплата ($143k - $210k) полностью соответствует и даже несколько превышает рыночные медианы для Senior Data Scientist в США, особенно учитывая возможность удаленной работы из регионов с более низкой стоимостью жизни.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist, Pricing position at PatientPoint. With over 6 years of experience in developing production-grade machine learning models and a deep background in optimization and price elasticity estimation, I am excited about the opportunity to spearhead algorithmic pricing for your ad tech stack. My expertise in Python, SQL, and orchestration tools like Airflow aligns perfectly with your technical requirements for building end-to-end data products.
In my previous roles, I have successfully translated complex data findings into actionable business strategies, a skill I look forward to bringing to your cross-functional team. I am particularly drawn to PatientPoint’s mission of improving health outcomes through innovative digital content. I am confident that my experience in constrained optimization and my collaborative approach to mentoring junior team members will contribute significantly to the continued success of your Data Science team.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в patientpoint уже сейчас
Присоединяйтесь к лидеру цифрового здравоохранения и внедряйте алгоритмическое ценообразование, которое меняет жизни миллионов пациентов!
Описание вакансии
Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Cincinnati, OH OR Remote
Travel:Up to 20 days per year
Job Summary
The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition. As a Senior Data Scientist, you will work on these problems by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions.
What You’ll Do
- In this role, you’ll work with a cross-functional team to spearhead algorithmic pricing across the business.
- You’ll be a core member of the team responsible for upgrading the ad tech stack PatientPoint relies on to deliver impactful point of care content.
- To be successful, you’ll need to develop a deep understanding of the goals and constraints of campaigns and leverage machine learning and optimization methods to consistently deliver impactful results for clients.
- As an experienced subject matter expert in this space, you’ll also mentor and coach less experienced data science team members as they continue to develop their skills.
What We Need
- 6+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders.
+ Candidates will be asked to provide examples from their previous experience and/or complete a project using analytics to create actionable insights.
- Bachelors degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field.
- Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration.
- Advanced knowledge and competency of machine learning and data science methods including predictive modeling, model validation and selection, network analysis, price elasticity estimation, optimization under constraints, etc.
- Experience promoting models through the lifecycle and monitoring model performance.
- Strong communication skills and a collaborative attitude for working with stakeholders.
Desired Qualifications
- Masters or doctoral degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field .
- Professional experience in healthcare, pharmaceutical, and digital advertising industries.
- Experience with Snowflake, Cursor, Airflow, HEX, Gurobi.
What You'll Need to Succeed
- Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them.
- Highly self-motivated and self-directed.
- Critical thinking with the ability to identify and solve problems in a fast-paced environment.
- The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience.
- Strong interpersonal, communication, and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and pricing.
- Consistent ability to deliver results aligned to expected timelines.
- Enthusiasm for responding to a dynamic range of questions and analytical challenges.
Base Salary Band: $143,374 - $210,544
Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.
About PatientPoint:PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com.
Latest News & Innovations:
- Named A Best Place to Work! Read More
- Mike Walsh, COO answers "What Makes a Great Leader". Read More
- Recognized on Vault’s Top Internship List. Read More
What We Offer:
We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.
PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V
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Навыки
- Python
- SQL
- Machine Learning
- Optimization
- Price Elasticity Estimation
- Snowflake
- Airflow
- Gurobi
- Predictive Modeling
- Data Visualization
- Model Deployment
Возможные вопросы на собеседовании
Вакансия сфокусирована на ценообразовании, поэтому важно понимать владение методами оценки чувствительности спроса.
Как бы вы подошли к оценке эластичности цен на рекламный инвентарь в условиях ограниченных исторических данных?
В описании упоминается Gurobi и оптимизация под ограничениями.
Опишите ваш опыт работы с задачами линейного или целочисленного программирования. Как вы справлялись с проблемой масштабируемости модели?
Позиция Senior предполагает ответственность за весь жизненный цикл модели.
Расскажите о самом сложном случае деградации модели в продакшене, с которым вы столкнулись. Как вы его обнаружили и исправили?
Работа предполагает тесное взаимодействие с отделами маркетинга и продукта.
Как вы объясняете нетехническим стейкхолдерам работу сложного алгоритма «черного ящика», чтобы они доверяли его решениям по ценообразованию?
Упоминание Airflow и Snowflake требует понимания архитектуры данных.
Каков ваш подход к построению надежных пайплайнов данных для ML-моделей, работающих в реальном времени?
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- Страна
- США
- Зарплата
- 143 374 $ – 210 544 $