Applied Data Scientist, Operations Intelligence & Automation

Apple, Inc.; Seattle (WA); Presencial; USD 138.000 - 207.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage

Retirement benefits

Employee stock programs

Relocation assistance

Descripción de la vacante

Apple, Inc. is seeking an Applied Data Scientist to own the core Operations Intelligence and Decision Support stack within the ML Data Quality Operations group.

You will design, scale, and evolve systems that drive workforce planning, predictive demand forecasting, spend optimization, and real-time telemetry across human-in-the-loop pipelines. You will bridge data systems with practical modeling, prototyping and deploying scalable tooling that empowers operations leads and engineering partners

Formación

• 3–5+ years of industry experience in applied science, data engineering, or operations research.
• Strong programming proficiency in Python and SQL.
• Experience developing predictive models (time-series forecasting, capacity planning, or constrained optimization) applied to operational or business problems.
• Experience building automation with LLM APIs to automate complex processes.
• MS or PhD in Computer Science, Data Science, Operations Research, Statistics, or related field, or equivalent practical experience.

Responsabilidades

• Design and implement predictive forecasting and capacity allocation models to project evaluation demand, workforce utilization, and budget trajectories under high volatility.
• Build, automate, and maintain resilient data pipelines and operational telemetry that serve as the single source of truth across human-in-the-loop workflows.
• Develop practical, scalable decision-support tooling and simulation capabilities for evaluating trade-offs and optimizing spend in real time.
• Build and evolve intelligent automation and tool-calling workflows to streamline operational inquiries and enable self-service actions.
• Establish monitoring and anomaly detection systems across operational metrics to identify bottlenecks and risks before delivery.
• Partner with operations leads, evaluation engineers, and program managers to ground tooling design in real feedback and daily workflows.

Conocimientos

Python

SQL

Time-series forecasting

Data modeling

Educación

MS/PhD in CS/DS/OR/Statistics

Herramientas

FastAPI

Streamlit

Airflow

Descripción del empleo

Apple, Inc. is seeking an Applied Data Scientist to own the core Operations Intelligence and Decision Support stack within the ML Data Quality Operations group.

You will design, scale, and evolve systems that drive workforce planning, predictive demand forecasting, spend optimization, and real-time telemetry across human-in-the-loop pipelines. You will bridge data systems with practical modeling, prototyping and deploying scalable tooling that empowers operations leads and engineering partners