Data Scientist/Statistician

Intel

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Phoenix, AZHillsboro, OR
Salary
$116,010–$228,070 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k
This role $172k
$84k most similar roles pay here $244k

This role pays more than 66% of similar roles. Most pay $126,800–$194,575 — the shaded band above. At the midpoint, this role pays about $172k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About Intel

Intel Corporation is the world''s largest semiconductor chip manufacturer, designing and producing microprocessors, chipsets, graphics chips, SSDs, and networking products for computers, data centers, and IoT devices. Industry: Semiconductors & Computing

Intel currently has 10 open roles on FindRole.

Listed pay typically runs $120,135–$217,290 across 10 roles with salary data.

Most-posted roles

View all roles at Intel

At a glance

TL;DR · Data Scientist/Statistician

The Data Scientist/Statistician joins the Statistics and Data Science team within the foundry quality and reliability organization to drive statistically sound methodologies into business practices. This role focuses on managing change control decisions, monitoring process capability, and ensuring matching across tools and fabs for semiconductor process development. The individual will use predictive modeling, machine learning, data mining, and other analysis techniques to extract insights from structured and unstructured data while developing software, algorithms, and applications to translate data into intelligence. Required technical skills include proficiency in Python, R, JMP, SQL, and JSL, along with experience in PowerBI, Spark, NiFi, Hadoop, and Kubernetes. The role addresses the challenge of transforming raw data into actionable information to improve process control systems and support the transition of manufacturing systems to a worldwide virtual factory network.

What you'll do

  • Use predictive modeling, machine learning, and data mining to extract insights from structured and unstructured data.
  • Develop software, algorithms, and applications to apply mathematics to data and solve business problems.
  • Implement process control systems to improve the capability, matching, and stability of semiconductor technologies.
  • Provide statistical analysis and causal inference to identify patterns and relationships within complex datasets.
  • Build data-driven applications to translate raw information into actionable intelligence for business strategy.
  • Support the transition of manufacturing systems to a worldwide virtual factory network.
  • Develop and implement advanced statistical methodologies to support change control decisions.
  • Create dashboards and tools using Python, SQL, or JSL to facilitate data-driven decision making.

What we're looking for

  • Master's or PhD degree in Statistics, Data Science, or Industrial Engineering.
  • 4+ years of experience working in statistics or data science.
  • 2+ years of experience working on quality systems such as process control and change control systems.
  • 1+ year of experience with PowerBI or similar dashboards.
  • 1+ year of experience in data analytics, machine learning (Python, R, JMP), and relational databases (SQL).
  • 1+ years of experience on fault detection systems (preferred).
  • 2+ years in a Technical leadership role (preferred).
  • 3+ months of knowledge with technologies including JSL, Python, Spark, NiFi, Hadoop, HBase, S3, Kubernetes, REST APIs, CI/CD, and GitHub (preferred).

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