- Страна
- США
- Зарплата
- 150 000 $ – 200 000 $
Откликайтесь
на вакансии с ИИ

Senior Data Analyst, Data Science & AI Research
Отличная вакансия с высокой зарплатой, удаленным форматом работы и современным технологическим стеком. Компания работает в социально значимой сфере (HealthTech) и предлагает щедрые бонусы, включая 401(k) match и неограниченный отпуск.
Сложность вакансии
Роль требует глубоких знаний в статистике (желательно магистерская степень) и опыта работы с медицинскими данными. Высокая планка ожиданий по техническим навыкам (SQL, Python/R) и умению связывать аналитику с бизнес-стратегией.
Анализ зарплаты
Предлагаемая зарплата ($150k - $200k) находится на верхней границе рыночного диапазона для Senior Data Analyst в США, особенно для сектора HealthTech. Это очень конкурентоспособное предложение, соответствующее высоким требованиям к квалификации.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Analyst position at SmarterDx. With over five years of experience in data analytics and a deep background in statistical modeling, I am excited by the opportunity to partner with your ML research team to measure the business impact of cutting-edge clinical AI. My expertise in SQL, Python, and R, combined with a structured approach to experimental design, aligns perfectly with your mission to optimize healthcare revenue cycles.
In my previous roles, I have successfully led the design and analysis of complex experiments, translating technical model performance into clear business KPIs. I am particularly drawn to SmarterDx's focus on connecting clinical context with revenue intelligence. Having worked with large-scale datasets and built automated dashboards for model monitoring, I am confident in my ability to provide the strategic insights necessary to drive your product iteration cycles forward.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в smarterdx уже сейчас
Присоединяйтесь к команде SmarterDx и внедряйте инновации в сфере медицинского ИИ, работая полностью удаленно!
Описание вакансии
SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
Role
As a Senior Data Analyst, you’ll influence strategic decisions and measure the business impact of cutting-edge models developed by our world-class machine learning research team. You will join a team of statistically-minded analysts who own the design, analysis, and interpretation of experiments across the company. You will partner with data scientists to estimate opportunity size, advise where to invest, monitor rollouts, evaluate model performance, and measure the resulting change in company KPIs.
\\This role is fully remote within the US\\**
What You'll Do
- Providing data analytics support for the ML and AI models that underpin our core products
- Partnering with machine learning researchers and data science stakeholders to design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
- Supporting a culture of experimentation to promote faster cycles of iteration, learning, and product improvement
- Build dashboards to monitor the performance, inference, and application of core models.
- Conduct investigations into trends and anomalies in model performance and data drift
- Developing attribution methodology to measure the contribution of deployed models to company KPIs
- Simulate proposed changes to core systems (e.g. recommendation, filtering, etc.) to support the strategic decisions around model development and deployment
What You Bring
- 3-5+ years' experience as a data analyst or data scientist
- Masters in statistics or other relevant fields preferred
- Familiarity with best practices for the design and analysis of experiments
- Strong technical skills: querying data with SQL, statistical programming, familiarity with statistical learning techniques (regression, clustering, etc.), and communicating findings with compelling data visualizations
- Experience with health system clinical and/or revenue cycle data is preferred
- Strategic: strong ability to connect analytics to business understanding and concrete use cases
- Problem Solver: develops a structured framework for approaching ambiguous problems, translate them into clear analytical questions, and synthesize insights into actionable recommendations
- Ownership mindset: Build and own data products from start to finish.
Nice To Haves
- Experience programming in R
- Experience with Markov Chain Monte Carlo simulations, linear mixed effect models, Bayesian statistics, and multi-armed bandits
- Experience having built ETL pipelines in dbt
Our Tech Stack
- Data Visualization: Hex and Omni
- Analysis:
+ Python (libraries: numpy, pandas, statsmodels, scikit-learn, seaborn, etc.)
+ R (libraries: dplyr, ggplot2, lme4, etc.)
- Pipelines: Snowflake, dbt, airflow, git, and AWS
Compensation
$150,000 - $200,000
#LI-DNI
Benefits
- Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
- Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
- Remote-First Team – Work from anywhere in the U.S.
- Unlimited PTO & 10 Holidays – So you can relax and recharge.
- 401(k) with Traditional & Roth Options– Tax-advantaged retirement savings through Fidelity with a 4% match.
- Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
- Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- SQL
- Python
- R
- Statistics
- Experimental Design
- Data Visualization
- Snowflake
- dbt
- Airflow
- AWS
- Machine Learning
- Regression Analysis
- Clustering
- Bayesian Statistics
- Hex
- Omni
Возможные вопросы на собеседовании
Вакансия требует опыта в дизайне экспериментов для оценки ML-моделей.
Как бы вы спроектировали эксперимент для оценки влияния новой модели ранжирования на доход госпиталя, учитывая возможные внешние факторы?
Упоминается работа с дрейфом данных (data drift).
Опишите ваш подход к мониторингу производительности моделей и выявлению дрейфа данных в реальном времени.
В стеке указаны продвинутые статистические методы (Bayesian, MCMC).
В каких случаях вы бы предпочли байесовский подход классическому частотному анализу при оценке результатов эксперимента?
Роль предполагает работу с медицинскими и финансовыми данными.
С какими специфическими проблемами качества данных вы сталкивались при работе с клиническими или финансовыми записями в здравоохранении?
Важна способность переводить аналитику в бизнес-рекомендации.
Расскажите о случае, когда результаты вашего анализа противоречили ожиданиям стейкхолдеров. Как вы аргументировали свою позицию?
Похожие вакансии
Senior Tableau Engineer
Senior Tableau Engineer
Senior Data Engineer
Senior Software Engineer - Analytics Data Engineering
Sr Data Engineer
Senior Data Engineer, Proprietary Research
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
- 150 000 $ – 200 000 $