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Applied Data Scientist - Operations Decision Intelligence

Apple· Apple Services Engineering (ASE) / Human-Centered AI / ML Data Quality Operations
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Seattle, WA$137.5k - $207.1kFull-timePosted 2w ago

About the role

Applied Data Scientist focusing on Operations Intelligence to design, scale, and evolve data systems, predictive models, and automation tools that optimize workforce capacity, forecast demand, and enable self-service operational decision-making across human-in-the-loop evaluation pipelines.

Responsibilities

  • 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 and vendor execution.
  • Develop practical, scalable decision-support tooling and simulation capabilities that allow operations leads to evaluate trade-offs, model capacity constraints, and optimize spend in real time.
  • Build and evolve intelligent, conversational automation and tool-calling workflows that streamline operational inquiries and turn manual triage into self-service actions.
  • Establish monitoring and anomaly detection systems across operational metrics to proactively identify pipeline bottlenecks, SLA risks, and spend variances before they impact delivery.
  • Partner with downstream users—operations leads, evaluation engineers, and program managers—to ground tooling design in real feedback and evolving feature needs.
  • Communicate analytical findings, capacity forecasts, and tooling roadmaps clearly to technical and operational stakeholders.

Qualifications

  • 3–5+ years of industry experience in applied science, data engineering, or operations research, with demonstrated experience building practical data systems or predictive models.
  • Strong programming proficiency in Python and SQL, with hands-on experience designing, deploying, and maintaining resilient data pipelines and backend utilities.
  • Experience developing quantitative or predictive models (e.g., time-series forecasting, resource allocation, capacity planning, or constrained optimization) applied to operational or business problems.
  • Experience building or integrating intelligent automation, conversational interfaces, or tool-calling/retrieval workflows using modern LLM APIs to automate complex processes.
  • Demonstrated experience translating fragmented operational data streams into unified data models, automated monitoring systems, and actionable decision tools.
  • Demonstrated ability to work directly with cross-functional users to incorporate feedback into tooling design, and to communicate technical concepts clearly to non-technical partners.
  • MS or PhD in Computer Science, Data Science, Operations Research, Statistics, or a related quantitative field, or equivalent practical experience.

Skills

Required:PythonSQLTime-series forecastingCross-functional collaborationData visualization / communication
Nice to have:Constrained optimization / capacity planningLLM-based automation / tool-calling workflows

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Potential discretionary bonuses or commission payments
  • Relocation assistance
Last updated Oct 9, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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