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Python R Developer Jobs in Portland, OR (NOW HIRING)

Lam Research

Business Systems Analyst 5

Tualatin, OR · On-site

Mentor and coach quality engineers and analysts across the factory network to leverage the ... such as python / R Proven ability to solve complex technical challenges and deliver innovative ...

Nike

Software Engineer

Beaverton, OR · On-site

... Python, and Node.JS • Container Technologies • DevOps Practices (Infrastructure, CI/CD, and Version control) • Microservices Architecture and Development Apply at www.Nike.com/Careers (Job # R ...

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Orbotech

Fleet Engineer

Hillsboro, OR · On-site

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Proficient in programming languages (such as Python), statistical analysis techniques, data ...

KLA Corporation

Fleet Engineer

Hillsboro, OR · On-site

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Proficient in programming languages (such as Python), statistical analysis techniques, data ...

Kla

Fleet Engineer

Hillsboro, OR

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Proficient in programming languages (such as Python), statistical analysis techniques, data ...

nLIGHT

Device Engineer

Vancouver, WA

$103K - $130K/yr

Data analysis capabilities and preferred coding skills in Python, SQL, Matlab, C * Suggest and ... R/MSA) * Support manufacturing of released processes and products including generating BOMsand ...

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Python R Developer information

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How much do python r developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python r developer in Portland, OR is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 per hour, depending on experience, location, and employer.

What is a Python R developer?

Python R Developers are professionals skilled in both the Python and R programming languages, primarily working in data science, analytics, and statistical computing. They leverage the strengths of both languages to process, analyze, and visualize complex data sets. These developers often work in environments where integrating machine learning, statistical modeling, and data engineering is required, and they may build tools or pipelines that utilize both Python and R. Proficiency in both languages allows them to select the best tools and libraries for specific tasks, increasing the efficiency and accuracy of data-driven projects.

What skills and qualifications are needed to thrive as a Python R developer?

To thrive as a Python R Developer, you need strong programming skills in both Python and R, a solid foundation in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, dplyr), data visualization tools, and version control systems (such as Git) is typically required, along with experience using Jupyter Notebooks or RStudio. Effective problem-solving, communication, and the ability to collaborate with interdisciplinary teams are valuable soft skills. These skills ensure robust data solutions, clear reporting, and efficient teamwork in data-driven environments.

How do Python R developers typically collaborate with data scientists and analysts in a project team?

Python R Developers often work closely with data scientists and analysts to design, implement, and optimize data processing workflows. They translate analytical requirements into robust, scalable code, ensuring that models and analyses can be efficiently run in both Python and R environments. Collaboration usually involves frequent code reviews, sharing best practices for interoperability, and integrating tools such as Jupyter Notebooks or RMarkdown for seamless reporting. This teamwork fosters knowledge sharing and helps deliver accurate, reproducible results aligned with project goals.

What is the difference between Python R Developer vs Data Analyst?

AspectPython R DeveloperData Analyst
Required SkillsProficiency in Python and R programming, data manipulation, statistical analysisData interpretation, basic statistical skills, Excel, SQL
Work EnvironmentData science teams, software development projectsBusiness intelligence, reporting, data visualization
Common Industry UsageTech, finance, healthcare, researchMarketing, finance, operations, retail

Python R Developers focus on building data models and algorithms using Python and R, often in technical or research settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Python R Developers typically have stronger programming expertise, whereas Data Analysts excel in data visualization and reporting.

Python R Developer jobs near you

Metrology Engineer 3

Tualatin, OR • On-site

Lam Research Corporation
Manufacturing • 10K+ employees
Learn more about Lam Research Corporationexternal

Full-time

Posted 18 days ago

Key responsibilities

  • Develop and deploy spectroscopy-, imaging-, and vision-based metrology systems for wafer characterization.

  • Design and execute experiments to evaluate sensor performance, measurement uncertainty, and process capability.

  • Build algorithms for data analysis, sensor fusion, anomaly detection, and metrology inference.

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

Job description

The group you'll be a part of
In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
The impact you'll make
At Lam, as a Metrology Engineer, you will help develop next-generation on-tool metrology and sensing technologies that enable smarter semiconductor manufacturing. Working at the intersection of semiconductor processes, optical sensing, machine vision, spectroscopy, and data analytics, you will transform raw sensor data into actionable process insights that improve equipment performance, productivity, and wafer outcomes.
You will work closely with hardware, firmware, software, process technology, and data science teams to develop measurement solutions capable of quantifying wafer characteristics directly on semiconductor processing equipment. Through hands-on experimentation, data analysis, and model development, you will help accelerate the transition from concept to product deployment for emerging Equipment Intelligence technologies.
In this role, you will directly contribute to the development and deployment of vision- and spectroscopy-based metrology systems that enable real-time characterization of film thickness, uniformity, defectivity, process drift, and other critical wafer-level measurements.
What you'll do
  • Develop and deploy spectroscopy-, imaging-, and vision-based metrology systems for non-contact wafer characterization, including film thickness, uniformity, defect detection, process monitoring, and equipment health assessment.
  • Design and execute experiments to characterize sensor performance, quantify measurement uncertainty, evaluate sensitivity, and perform MSA, Gauge R&R, capability, and error-budget analyses.
  • Develop calibration methods, measurement models, and analytics that transform optical, spectral, image, and equipment signals into actionable metrics for monitoring, diagnostics, optimization, and process control.
  • Build algorithms for spectroscopy, image analysis, signal processing, sensor fusion, anomaly detection, and metrology inference using physics-based, statistical, and machine learning techniques.
  • Correlate on-tool measurements with reference metrology systems, analyze experimental and production datasets, and generate wafer-level analytics to improve process understanding, control, and predictive monitoring.
  • Characterize and optimize optical subsystems, including illumination sources, imaging systems, spectrometers, hyperspectral cameras, sensors, optics, and data acquisition hardware.
  • Partner with hardware, firmware, software, optics, process technology, and data science teams to define requirements, sensor architectures, calibration strategies, and product performance targets.
  • Support product development from concept through deployment, including prototype integration, troubleshooting, validation, customer engagement, technical documentation, and development of automated analysis and visualization tools.

Who we're looking for
Minimum Qualifications:
  • Master's degree in Physics, Optical Engineering, Electrical Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, Data Science, Applied Mathematics, or a related technical discipline with 3+ years of experience; or PhD with no previous professional experience; or equivalent industry experience.
  • Strong experimental design, statistical analysis, and technical problem-solving skills.
  • Experience with scientific data analysis tools such as Python, MATLAB, R, JMP, or equivalent.
  • Ability to interpret complex datasets and communicate findings effectively to technical and non-technical audiences.
  • Strong written, verbal, and presentation skills.
  • Ability to travel up to 25%.

Preferred qualifications
  • Experience with semiconductor metrology applications, including film thickness measurement, material characterization, wafer uniformity analysis, defect inspection, process monitoring, and process control.
  • Experience with optical sensing technologies and data interpretation, including spectroscopic reflectometry, ellipsometry, hyperspectral imaging, machine vision, optics, photonic sensors, and scientific imaging systems.
  • Experience developing and applying physics-based, data-driven, or hybrid models for metrology, diagnostics, process monitoring, characterization, and equipment intelligence.
  • Experience in optical modeling, thin-film optics, image processing, computer vision, signal processing, spectroscopy, and analysis of complex sensor data.
  • Experience evaluating measurement systems through calibration development, MSA, Gauge R&R, uncertainty analysis, capability assessment, correlation analysis, and repeatability and reproducibility studies.
  • Experience designing statistically rigorous experiments and DOE methodologies for product development, characterization, and validation.
  • Proficiency in Python and engineering analysis tools, with experience in machine learning, scientific computing, simulation, visualization, automation, and analysis of large-scale manufacturing and wafer-level datasets.
  • Experience developing production-grade analytics, diagnostics, monitoring, machine learning, or multi-sensor data fusion solutions, with knowledge of semiconductor thin-film processes and the ability to work effectively across multidisciplinary engineering teams.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
IND123 #LI-CW1
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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