What are the responsibilities and job description for the AI Data Engineer/Data Scientist (with Snowflake / Dataiku) - Only W2 position at Saransh Inc?
Role: AI Data Engineer/Data Scientist Snowflake / Dataiku
Location: Princeton, NJ (Ideally 1-3 days a week in the office)
Job Type: W2 Contract
Must have: Snowflake Snowpark or PySpark SQL experience with any ML capabilities
Job Description
Data Engineering work to support the design of USO Patient Journey Optimization and Pre-Call Intelligence Data products
Location: Princeton, NJ (Ideally 1-3 days a week in the office)
Job Type: W2 Contract
Must have: Snowflake Snowpark or PySpark SQL experience with any ML capabilities
Job Description
Data Engineering work to support the design of USO Patient Journey Optimization and Pre-Call Intelligence Data products
- Main platforms: Snowflake (data storage, transformation, analytical data products, feature datasets),
- Dataiku (analytical workflows, scoring, orchestration, deployment, monitoring), Power BI or other approved BI tooling for reporting.
- Consume the USO star-schema tables in Snowflake
- Write/optimize SQL in Snowflake to query and shape data for feature engineering
- Build and maintain feature datasets/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
- Hands-on Snowflake, SQL, Python, Dataiku
- Experience with production data pipelines, data modeling, testing, monitoring, CI/CD
- AWS data services experience (Lambda, S3, Glue, Step Functions) useful for occasionally reading/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