Data Scientist (F/T):
Design, develop, validate Supervised Learning and Generative AI solutions using Multi-Agent Systems (MAS), Databricks, and AI Workflow Orchestration within Global Data Insights & Analytics (GDI&A). Use Python (Pandas, NumPy, Scikit-learn, Stats Models), PySpark, Streamlit, and SQL for Data Pipeline Development; apply Stochastic Modeling, Time-Series Forecasting, and Statistical Analysis for Supply Chain Optimization (incl. Inventory Optimization (EOQ), Demand Forecasting, and Inventory Planning); conduct A/B testing, Hypothesis-Driven Analysis, and Model Evaluation & Performance Monitoring; perform Feature Engineering, Data Preprocessing, and Data Validation; Design dashboards in Looker Studio and Smartsheet; Production ML Deployment and Model Endpoint Deployment & Management via Apache Spark, Google BigQuery, SQL Server, and Databricks Agent Bricks. Tech: GCP (Google Cloud Platform), AWS (S3, SageMaker, Lambda), Azure, Distributed Data Processing, Real-Time Data Processing, ETL Automation, ETL Pipeline Integration, Workflow Scheduling, Airflow (DAGs), Git, JIRA, and Jupyter Notebooks. Agile environment for Data-Driven Decision Making, Cross-Functional Collaboration, and Stakeholder Communication.
Offered Wage: $101,712 per year.
Job location Irvine, CA but relocation possible.
Master's Degree in Computer Science is required.
Mail resumes Attn: HR, Popular Tech, 10 Corporate Park, Suite 320, Irvine, CA 92606.