Data Scientist
Core
Build and optimize machine learning models for time series forecasting and predictive analytics to drive business value in healthcare operations.
Role type
Senior IC machine learning engineer (time series forecasting)
Builds
Production ML models, data pipelines, and data warehouse solutions for healthcare analytics
Domain
Healthcare / Supply Chain & Logistics
Deliverable
production ML models
Required skills
Python, PySpark, SQL, time series forecasting (ARIMA, Prophet, LSTMs), feature engineering, model evaluation metrics, data engineering, ETL, cloud computing (Google Cloud), Palantir Foundry, Boomi, SnapLogic, SSIS, AutoAI, Google Colab
Preferred skills
MLOps, business intelligence tools, supply chain forecasting, batch and real-time data processing, C#/Java/JavaScript
Technologies
PySpark, SQL, Google Cloud (BigQuery, Vertex AI), Palantir Foundry, AutoAI, Google Colab, Boomi, SnapLogic, SSIS
Responsibilities
Develop and optimize ML models for time series forecasting; perform feature engineering and data model optimization; build data pipelines using PySpark and SQL; work on large-scale data integration projects; design and maintain data warehouse solutions; deploy and monitor ML models in production; collaborate with stakeholders to align models with business objectives.
Seniority
Senior, hands-on IC