Applied Data Scientist - Operations Decision Intelligence
Core
Design, scale, and evolve data systems, predictive models, and automation tools to optimize workforce capacity, forecast demand, and transform evaluation operations into an AI-driven platform for Apple's human-in-the-loop pipelines.
Role type
Applied Data Scientist (Operations Intelligence)
Builds
Predictive forecasting models, decision-support tooling, simulation capabilities, and conversational automation workflows for operational planning.
Domain
AI/ML Operations, Workforce Planning, Demand Forecasting
Deliverable
production ML models
Required skills
Python, SQL, time-series forecasting, resource allocation, constrained optimization, LLM API integration, data pipeline engineering, anomaly detection
Preferred skills
Human-in-the-loop (HITL) pipeline support, internal tool design (FastAPI, Streamlit), workflow orchestration (Airflow), containerized deployment
Technologies
Python, SQL, LLM APIs, FastAPI, Streamlit, Airflow
Responsibilities
Design predictive forecasting and capacity allocation models; build resilient data pipelines and operational telemetry; develop decision-support tooling and simulation capabilities; build conversational automation workflows; establish monitoring and anomaly detection systems; partner with operations leads and engineering partners.
Seniority
Mid-Senior, hands-on IC
