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Phd In Statistics Jobs in Texas (NOW HIRING)

Apple

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

... statistical concepts to non-experts. Ability to manage multiple projects simultaneously in a fast-paced environment. Preferred Qualifications MS or PhD in Reliability Engineering, Systems Engineering ...

Apple, Inc.

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

... statistical concepts to non-experts. Ability to manage multiple projects simultaneously in a fast-paced environment. Preferred Qualifications MS or PhD in Reliability Engineering, Systems Engineering ...

Stata

Senior Econometrician and Software Developer

College Station, TX · On-site

$45 - $59.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A PhD or equivalent knowledge and job experience in statistics, economics, or another science-related field * Must be able to work in-house at our College Station, TX headquarters Note that the ...

USAA

Senior Marketing Data Scientist

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...

USAA

Senior Marketing Data Scientist

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...

Orion180

Sr Predictive Modeling Scientist

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

PhD in a related quantitative field (Statistics, Data Science, Mathematics, Computer Science, Actuarial Science) Experience: * Demonstrated predictive modeling experience, including 4+ years of ...

USAA

Senior Marketing Data Scientist

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...

USAA

Senior Marketing Data Scientist

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...

USAA

Senior Marketing Data Scientist

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive ...

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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 Texas?

For Phd In Statistics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Phd In Statistics jobs in Texas look for?

The top searched job categories for Phd In Statistics jobs in Texas are:

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Texas as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Center - MLB Reliability Engineer

Apple

Austin, TX • On-site

$101K - $127K/yr

Full-time

Posted 13 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

At Apple, we don't just follow industry standards-we define them. We value creative problem-solving and the ability to adapt to new technical challenges. In this role, you will collaborate with diverse hardware teams to ensure our data center infrastructure is not only durable, but built to exceed expectations. From early concepts to field optimization, you will drive innovative reliability strategies and continuous improvement to shape the future of the critical systems powering our global services.
Description
The position is on Apple's innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next-generation Data Center motherboards. In this role, you will bridge the gap between component-level and package level physics of failures and system-level availability. You will drive SoC and board integration reliability through rigorous stress testing and physics-of-failure analysis, utilizing advanced statistical modeling to ensure these critical modules meet the uptime and availability requirements of a high-demand data center environment
Minimum Qualifications
BS in Materials Science, Electrical, Mechanical Engineering or an equivalent field desired with 5+ years of experience.
Proficiency in statistical life data analysis
Strong knowledge of Semiconductor package integration, SLI reliability, passive components, PCB reliability, bonding materials, and warpage control.
Ability to apply FMEA (Failure Modes and Effects Analysis) methodologies.
Excellent written and verbal communication skills with the ability to explain complex statistical concepts to non-experts.
Ability to manage multiple projects simultaneously in a fast-paced environment.
Preferred Qualifications
MS or PhD in Reliability Engineering, Systems Engineering, Electrical Engineering, Materials Science, or an equivalent field..
Background in reliability for large-die packages, heterogeneous integration, and high-power server motherboards.
Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures.
Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and scripting languages for statistical modeling like Python, R, or MATLAB.
A record of initiating innovation and continuous improvement in reliability methodologies.
Dynamic and "can-do" attitude with a desire to work with a great team and product.
Exceptional problem-solving abilities and strong attention to detail.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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