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Statistics Data Science Jobs in Arizona (NOW HIRING)

Data Scientist/Statistician

Phoenix, AZ · On-site

$116K - $228K/yr

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound methodologies into business practices and systems to help organization manage change control decisions ...

Data Scientist/Statistician

Phoenix, AZ · On-site

$116K - $228K/yr

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound methodologies into business practices and systems to help organization manage change control decisions ...

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Candidate has expertise in AI, machine learning, deep learning, statistical data processing ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Candidate has expertise in AI, machine learning, deep learning, statistical data processing ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Candidate has expertise in AI, machine learning, deep learning, statistical data processing ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Candidate has expertise in AI, machine learning, deep learning, statistical data processing ...

Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems. * Support use cases such as demand ...

Data Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Showing results 1-20

Statistics Data Science information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do statistics data science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for statistics data science in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative researcher. These jobs typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often within technology, finance, healthcare, or consulting industries.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.
Infographic showing various Statistics Data Science job openings in Arizona as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Data Scientist/Statistician

Intel

Phoenix, AZ • On-site

$116K - $228K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

20th of 156 rated electronics manufacturers


Job description

Job Details:Job Description: 

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound methodologies into business practices and systems to help organization manage change control decisions, monitor capability of the process, ensure matching across tools and fabs, and drive best in class process control systems. Our team reports into the foundry quality and reliability team and is essential for driving transformation of Intel to be focused on not just process development, but a great partner for our foundry customers to help turn data into information. Our team is looking for an engineer with background in statistics and data science with strong technical skills in applied statistics, good communication skills, ability to also help support and develop modern AI/ML solutions.

As a Statistician and Data Scientist in the TD AI office, you will partner with Intel's factory automation organization and Foundry TD's functional areas to support semiconductor process development and transfer of these systems to worldwide virtual factory network.

The primary responsibilities for this role will include, but are not limited to:

  • Ensuring organization leverages appropriate data and analyses to make change control decisions

  • Drives organization to use 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 collect, explore, and extract insights from the structure and unstructured data.

  • Develop software, algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy.

  • Assist the business with casual inferences; observations with finding patterns and relationships in data.

  • Interfacing with process and integration functional area analytics teams to help solve problems

A successful candidate will have proven experience demonstrating the following skills and behavioral traits:

  • Experience in using AI/ML/Analytics algorithms and methodologies

  • Developing statistical methodologies

  • Ability to code statistical analysis, data cleaning, and data manipulation via common languages such as 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 skills and partnership skills.

  • High tolerance of ambiguity.

  • High level of self-motivation

Qualifications:

You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • 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).

Preferred Qualifications:

  • 1+ years working on fault detection systems

  • 2+ years in a Technical leadership role.

  • 3+ months working knowledge with any of following technologies: JSL, Python, Spark, NiFi, Hadoop, HBase, S3 object storage, Kubernetes, REST APIs and services.

  • 3+ months working knowledge with CI/CD (Continuous Integration/Continuous Deployment) and proficiency with GitHub and GitHub Actions.

  • Prior interaction with factory automation systems

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:US, Oregon, HillsboroPosting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $116,010.00-228,070.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968