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Python Pandas Jobs in Oregon (NOW HIRING)

Shipt

Data Scientist

OR · On-site +1

Strong Python skills with experience in libraries such as: pandas, scikit-learn, PyTorch or TensorFlow * Ability to work with large datasets and distributed systems (ex. Spark, BigQuery, Snowflake ...

Varsity Tutors

Data Science Tutor

OR · Remote

$40/hr

... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights ... Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$40/hr

... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights ... Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Varsity Tutors

Data Science Tutor

Eugene, OR · Remote

$40/hr

... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights ... Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Guidehouse

OR · On-site

$113K - $188K/yr

Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills. * Experience working with Databricks and/or Spark-based ...

Instacart

OR · On-site

$91.40K - $124.90K/yr

Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, JAX). Fluency in data manipulation tools (SQL, Spark, Pandas). * Track record of formulating ambiguous problems into well ...

Instacart

OR

$91.40K - $124.90K/yr

Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, JAX). Fluency in data manipulation tools (SQL, Spark, Pandas). * Track record of formulating ambiguous problems into well ...

Cotiviti

... pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU. * General understanding of ... Strong understanding of technology systems for model development (e.g., Python, DataRobot, AWS ...

eNett

OR · On-site

Advanced knowledge of Python or R and experience with common data science libraries such as lightgbm, scikit-learn, pandas, etc.. * Deep understanding of model deployment requirements for scalable ...

Cotiviti

... science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU ... Strong understanding of technology systems for model development (e.g., Python, DataRobot, AWS ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch. * Familiarity with the technical details of deep learning concepts, such as ...

Intel

Systems Research Engineer/Scientist

Hillsboro, OR

$122.44K - $232.19K/yr

Experience with scripting languages such as Python/Perl/PowerShell/shell and programming languages ... Background in data science methods and tools (e.g., Pandas, R, MATLAB) * Experience with automation ...

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How much do python pandas jobs pay per hour?

As of May 30, 2026, the average hourly pay for python pandas in Oregon is $61.98, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.38 per hour, depending on experience, location, and employer.

What is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.
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Python Pandas jobs near you
Infographic showing various Python Pandas job openings in Oregon as of May 2026, with employment types broken down into 7% Internship, 62% Full Time, 6% Part Time, and 25% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $128,917 per year, or $62 per hour.
Product Engineer 3

Product Engineer 3

Lam Research Corporation

Tualatin, OR • On-site

Full-time

Posted 21 days ago

Lam Research rating

8.9

Company rating: 8.9 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

29th of 415 rated machine equipment manufacturers

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
We are seeking a top-tier candidate to work on integration, testing, and analysis of diverse sensor technologies-including vision systems and other time-series sensors-for our advanced products. The ideal candidate will work in a cross-functional role, collaborating with engineering teams and vendors to develop robust infrastructure for accurate data acquisition, processing, and performance validation. This role also involves supporting field teams virtually or on-site as needed.
What you'll do
  • Collaborate with cross-functional and cross-cultural teams to guide the specification and development of products.
  • Debug optical, electrical, mechanical, and signal integrity issues during sensor module development.
  • Perform comprehensive characterization of imaging sensors, time-series sensors (e.g., thermal, acoustic, vibration), and associated signal processing pipelines.
  • Collaborate with cross-functional teams to identify, implement, and validate improvements in sensor data capture and processing across hardware and software.
  • Apply engineering theories and research techniques to investigate, troubleshoot, and resolve technical challenges.
  • Plan and execute research to advance sensor analytics, including image/video processing and time-series signal analysis for semiconductor equipment.
  • Develop algorithms and workflows for sensor fusion, anomaly detection, and predictive modeling using multi-modal data.
  • Assess effectiveness and accuracy of models and data acquisition techniques.
  • Develop, train, and deploy models for optimizing customer experience and equipment reliability.
  • Create test plans, documentation, and reports for sensor validation and performance metrics.
  • Support process engineers by running recipes and coordinating sensor-based measurements on process modules..
  • Maintain a high degree of customer engagement including face-to-face and international travel to customer sites supporting near term product releases and solve customer issues.
  • Work in a cleanroom lab and/or customer semiconductor fab environment.

Who we're looking for
Minimum Qualifications:
  • BS/MS/PhD in Electrical Engineering, Computer Science, Mechanical Engineering, Physics, Applied Mathematics, or related disciplines.
  • Strong experience in signal processing, sensor integration, and data analysis for imaging and non-imaging sensors.
  • Proficiency in image processing, computer vision, and time-series analysis algorithms.
  • Expertise in scripting languages such as Python or MATLAB; familiarity with scientific computing libraries.
  • Knowledge of sensor calibration methods (e.g., camera calibration, sensor alignment) and data acquisition systems.
  • Familiarity with software test methodologies, Design of Experiments, and performance validation.
  • Strong problem-solving and troubleshooting skills across hardware and software domains.
  • Ability to learn new technologies and complete projects with minimal guidance.
  • Comfortable with multiple software tools and basic system/network troubleshooting.

Preferred qualifications
  • Experience with Python and the scientific stack (NumPy, SciPy, Pandas, OpenCV).
  • Background in sensor fusion, anomaly detection, and predictive analytics.
  • Working knowledge of network protocols and streaming data analytics.
  • Experience with thermal imaging, spectroscopy, vibration/acoustic sensors, or other non-vision sensing modalities.
  • Familiarity with semiconductor processing and equipment operations (Lam Research experience is a plus).
  • Exposure to machine learning techniques for image classification, segmentation, and time-series forecasting.

In this role, you will partner with subject matter experts and collaborate with hardware, electrical, software, and algorithm teams to build representative test systems and prototypes for multi-sensor integration and analytics.
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.
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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Benefits

Hours and flexibility

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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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