Apple
Applied Data Scientist - Operations Decision Intelligence
$138K–$207K
Seattle, Washington · Full-time · Posted Oct 8, 2026
- Experience
- 3–5+ years of industry experience in applied science, data engineering, or operations research.
- Education
- MS or PhD in Computer Science, Data Science, Operations Research, Statistics, or a related quantitative field, or equivalent practical experience.
About the job
Builds data systems, forecasting models, and automation tools to improve workforce planning, demand forecasting, and operational decision-making for human-in-the-loop evaluation workflows.
What you'll do
- Develop forecasting and capacity-allocation models for demand, workforce utilization, and budgets.
- Build resilient data pipelines, operational telemetry, monitoring, and anomaly detection.
- Create decision-support, simulation, and conversational automation tools for operational self-service.
What they ask for
- 3–5+ years of industry experience in applied science, data engineering, or operations research.
- Strong Python and SQL programming proficiency, including experience maintaining data pipelines and backend utilities.
- Experience developing quantitative or predictive models and building or integrating LLM-based automation or tool-calling workflows.
- MS or PhD in a related quantitative field, or equivalent practical experience.
Nice to have
- Experience with Data Operations, HITL annotation, or AI/ML evaluation workflows.
- Experience with FastAPI, Streamlit, workflow orchestrators such as Airflow, or containerized deployment.
Pay
$137,500 and $207,100 USD base salary
Tools
Python, SQL, LLM APIs, FastAPI, Streamlit, Airflow
AI focus
Develops conversational, tool-driven automation and operational decision intelligence supporting AI/LLM evaluation workflows.
Model-written summary · the original posting is authoritative