Principal Data Architect (Data Science)

Remote · USD 180,000-240,000 / year · 6+ years experience · Full-time · Remote · Posted Oct 15, 2026

At a glance

Design and build the pipelines that bring data in for feature engineering and machine learning.
Use your knowledge of healthcare data, statistics, and data science to create features with real predictive power.
Use techniques like clustering, text analytics, and PCA to find the most useful signals while preserving the meaning in the original data, so models stay accurate and scale well.
Explore the data to find patterns, trends, and relationships, and use what you learn to match features with the right modeling approach.
Experiment with statistical and machine learning methods to build, tune, and optimize predictive models that fit the use case.
Ship production code that follows engineering best practices.
Document your work and share your approach, insights, and solutions with technical and non-technical audiences.
Build and maintain the pipelines and processes that keep our enterprise data science products running smoothly.
Keep data and outputs accurate and reliable from start to finish.
Partner with stakeholders, data scientists, data engineers, and product managers to build and deliver great data products.

6+ years working across data science and machine learning (for the Lead level)
Expert-level SQL and Python
Hands-on work with both structured and unstructured data, such as tables, text, images, and video
Experience with both relational (SQL) and non-relational (NoSQL) databases
Familiarity with ETL and data processing tools like Apache Spark
Experience using tools to visualize data and monitor its health
Comfort with modern software practices like automated testing and CI/CD
Experience with Docker
Experience deploying to GCP or another cloud platform