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Phd In Statistics Jobs in Arizona (NOW HIRING)

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

$99K - $148K/yr

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.
What are popular job titles related to Phd In Statistics jobs in Arizona? For Phd In Statistics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Arizona look for? The top searched job categories for Phd In Statistics jobs in Arizona are:
Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Packaging Module Development Engineer

Intel Corporation

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

Job description

Job Details:
Job Description:
  • Develops assembly processes and/or equipment and applies novel concepts for innovative solutions to enable Intel's roadmap of future assembly packaging platform technologies.
  • Applies engineering principles and novel concepts to deliver innovative solutions that improve process control, product quality, reliability, productivity, yield, and manufacturability.
  • Optimizes and improves the efficiency of manufacturing of packages, developing processes to meet quality, reliability, cost, yield, productivity and manufacturability requirements.
  • Applies principles of Design of Experiments (DOE), statistical analysis, and Measurement System Analysis (MSA) to ensure robust process capability and consistency across tools, sites, and product generations.
  • Documents technical innovations and improvements through white papers, qualification summaries, and technical reports.
  • Develops and maintains equipment and measurement systems to evaluate silicon and package technologies under simulated field-use conditions-including heat, humidity, temperature cycling, and dynamic forces-to ensure early identification of potential problems with packaging quality and reliability.
  • Oversees the manufacturability of physical package layouts and the overall cycle of manufactured processes, procedures, and flows.
  • Sets reliability and metrology requirements to meet customer needs and influences design, material selection, and process development based on a fundamental understanding of failure mechanisms.
  • Establishes material and measurement specifications for vendors, contract assemblers, and internal teams. Interfaces with supplier quality, procurement, and partner engineering groups to ensure material quality and vendor performance meet strict adherence to process specifications and product qualification methods.
  • Develops new techniques, acceleration methods, and quality screens to identify risk areas early in the development cycle.
  • Leads efforts in innovation and problem-solving to continuously improve equipment and processes using experimental design and statistical methods. Provides technical consultation on packaging challenges, measurement discrepancies, and process improvements, responding to customer or client requests as they occur.
  • Provides technical consultation on packaging challenges, measurement discrepancies, and process improvements, responding to customer or client requests as they occur.
  • Delivers standardization in product qualification, manufacturing quality systems, and metrology methods. Continuously engages with packaging technology development and partner engineering groups on process and technology maturity to mitigate key risk areas and meet critical product milestones.

Note: This role requires regular onsite presence to fulfill essential job responsibilities.
Qualifications:
You must possess the minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
  • Master's degree in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related STEM field with 3+ years of industry experience
  • -OR- PhD in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related STEM field with 1+ years of industry experience
  • Minimum cumulative GPA of 3.5.
  • Must have the required degree prior to your start date.

  • Experience listed above should be a combination of the following:

- Technology development, including familiarity with Statistical Process Control (SPC) and/or Design of Experiments (DOE), preferably within semiconductor or advanced manufacturing environments.
- Strong experimental background, including hands-on laboratory or prototype development experience.
- Experience in programming/script (e.g., Python, MATLAB) development with artificial intelligence and machine learning concepts
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
Posting 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 Trust
N/A
Benefits
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: $133,800.00-219,550.00 USD
The 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 require an on-site presence. * 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

Workplace

Get the full story on Breakroom

Intel logo

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

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