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Phd In Statistics Jobs in Oregon (NOW HIRING)

onsemi

Process Integration Engineer

Gresham, OR · On-site

Design and analyze statistical experiments using DOE, regression, and AI-assisted methods to ... MS or PhD in Electrical Engineering, Physics, Chemistry, Chemical Engineering, Materials ...

Natera

OR · On-site

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI * Core experience ...

onsemi

Process Integration Engineer

Gresham, OR · Hybrid

MS or PhD in Electrical Engineering, Physics, Chemistry, Chemical Engineering, Materials ... Experience applying DOE, statistical analysis, and data analytics to semiconductor development.

Netflix

OR

Advanced degree (PhD or Master's) in Statistics, Mathematics, Computer Science, or a related quantitative field. 5+ years of relevant experience building machine learning models on large-scale data.

Netflix

OR

$372K - $600K/yr

MS or PhD in a quantitative field (e.g., Statistics, Economics, Mathematics) or equivalent practical experience. Specialized Domain Expertise: Significant experience with auction dynamics, yield ...

Bluesight

Data Scientist

OR · Remote

$130K - $150K/yr

Master's degree or PhD in math and/or statistics centric field of study * Experience on a data team of a similar size ( * Experience working with protected healthcare data (e.g. ADM, EHR) and ...

Upstart

Senior Manager, Machine Learning

OR · Remote

PhD in Computer Science, Statistics, Economics or a related field. * Proven success building and scaling new ML products from inception. * Familiarity with lending, lines of credit, or other consumer ...

Intel

Foundry Strategic Industrial Engineer

Hillsboro, OR

$76K - $102K/yr

A PhD in an Engineering, Mathematics, or Statistics discipline and 1+ years of relevant experience. Relevant experiences should include: * Experience synthesizing abstract complex data into clear ...

Instacart

Senior Marketing Decision Scientist II

OR · Remote

... Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent practical experience. Preferred Qualifications * 8+ years of relevant experience; advanced degree (MS/PhD) in a ...

RTI International

Director, Epidemiology

You will be responsible for development of study protocols, contribute to statistical analysis ... PhD in Epidemiology or equivalent. Life sciences background, causal inference methods ...

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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 is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
What are popular job titles related to Phd In Statistics jobs in Oregon? For Phd In Statistics jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Oregon look for? The top searched job categories for Phd In Statistics jobs in Oregon are:
What cities in Oregon are hiring for Phd In Statistics jobs? Cities in Oregon with the most Phd In Statistics job openings:
Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Oregon as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Process Integration Engineer

Process Integration Engineer

onsemi

Gresham, OR • On-site

Full-time

Posted 17 days ago

Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description


The Process Integration and Technology Development Engineer defines, develops, and implements silicon process technology for the manufacture of integrated silicon devices. The successful candidate will be responsible for unit/process module development, process flow implementation, design rule definition, device architecture, electrical characterization, and technology qualification. These tasks support new silicon technology developments and transfers of existing technologies in and out of the resident fab. Experience related to semiconductor processing in BCD, Discretes, and hybrid Smart Power technologies is desired.
Responsibilities
Process Integration and Technology Development
  • Develop unit processes and process modules for CMOS, BCD, Discretes, and hybrid Smart Power technologies.
  • Perform process module characterization to ensure robustness, manufacturability, and scalability.
  • Develop and maintain end-to-end technology process flows with detailed process specifications.
  • Define physical design rules and test structures for characterization.
  • Drive process and device optimization to meet performance, reliability, and cost targets.
  • Design and analyze statistical experiments using DOE, regression, and AI-assisted methods to optimize device architecture and process modules.
  • Support intrinsic reliability studies, including gate oxide integrity, TDDB, HCI, EM, and stress migration, using both physics-based and data-driven approaches.

Manufacturing, Yield & Technology Transfer
  • Facilitate process improvements and corrective actions for yield, reliability, and manufacturability issues using root-cause analysis and data mining and analysis.
  • Support Process Engineering and Yield Engineering teams to improve process quality and yield for technologies released to manufacturing.
  • Enable smooth technology transfers into and out of the fab by using data-driven monitoring, excursion detection, and learning systems.

Qualifications
Required
  • MS or PhD in Electrical Engineering, Physics, Chemistry, Chemical Engineering, Materials Engineering, or related technical field.
  • Experience with semiconductor process technology and wafer fabrication.
  • Understanding of semiconductor device physics, including CMOS, DMOS, Bipolar, and Trench FET devices.
  • Experience applying DOE, statistical analysis, and data analytics to semiconductor development.
  • Strong written and verbal communication skills with the ability to convey complex technical concepts clearly.
  • Proven problem-solving ability and strong collaboration skills in cross-functional teams.

Preferred
  • Experience with 180 nm through 40 nm technologies.
  • Knowledge of Bipolar, CMOS, High Voltage DMOS, Vertical FETs, SOI, CIS, EEPROM, NVM, or Dual Damascene copper integration.
  • Knowledge of intrinsic reliability testing methodologies, including GOI, VRamp, TDDB, HCI, EM, and SM.
  • Hands-on experience with process and device TCAD simulations.
  • Experience designing and evaluating physical and electrical design rule test structures.
  • Familiarity with AI/ML techniques, data mining, or statistical modeling applied to semiconductor process or device data.
  • Experience using scripting languages (e.g., Python, MATLAB, JMP, or equivalent) for data analysis, automation, or model development.

About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

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