Overview
Every data-driven decision in healthcare depends on the trustworthiness and accessibility of the underlying data. The AI Engineer Lead Data Scientist role in Portugal sits at the intersection of patient journey optimization and pre-call intelligence, where the right data engineering choices shape the impact of advanced analytics. In this position, you decide how data is prepared and validated for use in machine learning models that support critical healthcare insights. The person in this role shapes the quality and reliability of analytics that drive better patient outcomes.
Responsibilities
- Consume the USO star-schema tables in Snowflake
- Write and optimize SQL in Snowflake to query and shape data for feature engineering
- Build and maintain feature datasets and views in Snowflake that feed Dataiku
- Check the Feature Store for existing features before building new ones in Dataiku
- Create and maintain features in Dataiku for consumption by the Data Science team's ML models
- Design, build and validate ML models for Patient Journey Optimization and Pre-Call Intelligence use cases
- Support analytical data products and BI dataset needs from Snowflake
Requirements
- Hands-on Snowflake, SQL, Python, Dataiku
- Experience with production data pipelines, data modeling, testing, monitoring and CI/CD
- AWS data services experience (Lambda, S3, Glue, Step Functions), useful for occasionally reading and debugging upstream CDW pipelines, but not core to this role
- Comfortable in governed enterprise environments
- Preferred: healthcare, claims, HCP, patient-support or Veeva data experience
Portugal
- Competitive compensation depending on experience and skills
- Variety of projects within one company
- Being a part of a project following engineering excellence standards
- Individual career path and professional growth opportunities
- Internal events and communities
- Flexible work hours