Data Scientist & Data Analyst
About The Position
Operational Data Foundation & Modeling Develop and maintain conceptual, logical, and operational data models for lab operations, experiments, equipment, materials, metrology, and supporting workflows. Identify data gaps and fragmentation across systems, workflows, and sources; propose solutions to improve data completeness, consistency, and quality. Define and refine threading keys required for end‑to‑end visibility and velocity measurement across lab processes. Build structured datasets that enable measurement of cycle time, productivity, utilization, and other operational KPIs. Analyze operational workflows and experiment cycles to identify bottlenecks, inefficiencies, and opportunities for acceleration. Build dashboards, reports, and analytical tools that provide real‑time visibility into lab performance and velocity metrics. Apply data science, statistical modeling, and predictive analytics to support continuous improvement and scenario analysis. Support leaders with insights that influence strategic decisions, resource planning, and operational design. Contribute to development of AI‑assisted operational workflows, including agents for optimization and automated insights. Work closely with lab operations, engineering, R&D, logistics, facilities, and system owners to understand data needs and operational context. Collaborate with information system owners and technical teams to ensure analytics requirements shape data architecture and system design. Partner with transformation and business process teams to integrate analytics into redesign efforts. Develop methods to quantify improvements from system changes, workflow redesign, and operational interventions. Support creation of baseline measurement dashboards and KPIs for EPIC workflows.
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or related field.
- 3-7 years of experience in data analytics, data science, or operational analytics, preferably in a technical or R&D environment.
- Strong skills in data modeling, statistical analysis, and translating operational workflows into structured datasets.
- Proficiency with data analysis tools (Python, R, SQL) and visualization platforms.
- Experience building dashboards, models, and analytics that support operations, productivity, or process optimization.
- Ability to communicate insights clearly to technical and non‑technical audiences.
Nice To Haves
- Semiconductor industry experience preferred.
- Familiarity with lab environments, experiment workflows, or operational data challenges is a strong plus.
Responsibilities
- Develop and maintain conceptual, logical, and operational data models for lab operations, experiments, equipment, materials, metrology, and supporting workflows.
- Identify data gaps and fragmentation across systems, workflows, and sources; propose solutions to improve data completeness, consistency, and quality.
- Define and refine threading keys required for end‑to‑end visibility and velocity measurement across lab processes.
- Build structured datasets that enable measurement of cycle time, productivity, utilization, and other operational KPIs.
- Analyze operational workflows and experiment cycles to identify bottlenecks, inefficiencies, and opportunities for acceleration.
- Build dashboards, reports, and analytical tools that provide real‑time visibility into lab performance and velocity metrics.
- Apply data science, statistical modeling, and predictive analytics to support continuous improvement and scenario analysis.
- Support leaders with insights that influence strategic decisions, resource planning, and operational design.
- Contribute to development of AI‑assisted operational workflows, including agents for optimization and automated insights.
- Work closely with lab operations, engineering, R&D, logistics, facilities, and system owners to understand data needs and operational context.
- Collaborate with information system owners and technical teams to ensure analytics requirements shape data architecture and system design.
- Partner with transformation and business process teams to integrate analytics into redesign efforts.
- Develop methods to quantify improvements from system changes, workflow redesign, and operational interventions.
- Support creation of baseline measurement dashboards and KPIs for EPIC workflows.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
