Data Scientist/Statistician

Intel Corporation

Data Scientist/Statistician developing statistical, AI/ML, and data solutions for Intel's semiconductor foundry operations. Improving process control, capability, matching, and change-control decisions.

Posted 9/10/2026full-timePhoenix • Arizona, Oregon • 🇺🇸 United StatesMid-LevelSenior💰 $116,010 - $228,070 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in statistical analysis, data science, and machine learning, with a strong focus on developing algorithms and applications for data-driven decision-making in semiconductor processes. Proficient in leveraging process control systems and analytics to enhance operational capabilities and support factory automation.

Highest-signal resume keywords

Master's Or PhD In Statistics4+ Years In Statistics Or Data ScienceMachine Learning (Python, R, SQL)PowerBI Or Similar DashboardsTechnical Leadership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData MiningStatistical MethodologiesData CleaningData ManipulationCausal InferenceProcess Control SystemsChange Control SystemsFault Detection SystemsData Structures

Soft Skills

Strong Written And Oral Communication SkillsAnalytical Problem SolvingTeamwork And Partnership SkillsHigh Tolerance Of AmbiguityHigh Level Of Self-Motivation

Tools & Technologies

JSLPythonSQLSparkNiFiHadoopHBaseS3 Object StorageKubernetesGitHub

Industry Keywords

Semiconductor Process TechnologiesFactory AutomationData AnalyticsAI/ML SolutionsQuality Systems

Tech Stack

Tools & technologies

HadoopHBaseKubernetesPythonSparkSQL

About the role

Key responsibilities & impact

Ensure the organization leverages appropriate data and analyses for change control decisions
Drive use of process control systems to improve capability, matching, and stability of semiconductor process technologies
Use predictive modeling, statistics, machine learning, data mining, and other data analysis techniques to extract insights from structured and unstructured data
Develop software, algorithms, and applications for mathematical data analysis, large-scale experimentation, data-driven applications, and business problem solving
Assist the business with causal inferences by identifying patterns and relationships in data
Interface with process and integration functional-area analytics teams
Partner with Intel's factory automation organization and Foundry TD functional areas to support semiconductor process development and system transfer to the worldwide virtual factory network
Help develop and support modern AI/ML solutions

Requirements

What you’ll need

Master's or PhD degree in Statistics, Data Science or Industrial Engineering
4+ years working in statistics or data science
2+ years working on quality systems such as process control systems and change control systems
1+ year working on PowerBI or similar dashboards
1+ years in data analytics and machine learning (Python, R, JMP, etc.) and relational databases (SQL)
Experience using AI/ML/Analytics algorithms and methodologies
Experience developing statistical methodologies
Ability to code statistical analysis, data cleaning, and data manipulation using JSL, Python, and SQL
Understanding of data structures
Strong written and oral communication skills
Ability to train others
Analytical problem solving and troubleshooting skills
Teamwork and partnership skills
High tolerance of ambiguity
High level of self-motivation
Preferred: 1+ years working on fault detection systems
Preferred: 2+ years in a technical leadership role
Preferred: 3+ months working knowledge of JSL, Python, Spark, NiFi, Hadoop, HBase, S3 object storage, Kubernetes, REST APIs and services
Preferred: 3+ months working knowledge with CI/CD and proficiency with GitHub and GitHub Actions
Prior interaction with factory automation systems is preferred
Requirements may be obtained through industry-relevant job experience, internships, schoolwork, classes, or research

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation