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Python Pandas Jobs in Oregon (NOW HIRING)

Python Tutor

OR · Remote

$40/hr

Guides students through writing clean functions, manipulating data with Pandas, creating ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Eugene, OR · Remote

$40/hr

Guides students through writing clean functions, manipulating data with Pandas, creating ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Portland, OR · Remote

$40/hr

Guides students through writing clean functions, manipulating data with Pandas, creating ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Proficiency in Python (Pandas, NumPy, scikit-learn) * Solid understanding of statistics, hypothesis testing, and experimental design * Experience building dashboards in tools such as Hex, Looker ...

$70K - $104K/yr

Proficiency with Python, including experience with libraries such as PySpark, Pandas, NumPy, Polars, or similar frameworks. * Basic understanding of database management and querying using SQL and/or ...

OR · On-site

$114K - $137K/yr

Pandas, NumPy, Pydantic, and related libraries * Strong database fundamentals: SQL, data modeling ... Solid experience with concurrent Python: threading, multiprocessing, and async patterns

Advanced data skills: comfortable with SQL, Python (pandas, NumPy, or similar), or equivalent tools. Able to design, clean, and query structured datasets independently. Preferred * Familiarity with ...

Python, Pandas, PySpark, SQL, R; * Familiarity with big data tools using AWS or other cloud services; * A passion for statistical methodology; * Experience with MLOps platforms like MLFlow, Sagemaker ...

... Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) Experience with time-series data analysis and anomaly detection Hands-on experience with causal inference methods (e.g., Bayesian networks ...

... Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian ...

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Eugene, OR

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

... Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian ...

Data Engineer

Salem, OR

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Python Pandas information

See Oregon salary details

$13

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How much do python pandas jobs pay per hour?

As of Jun 19, 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 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 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 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.

What are the most commonly searched types of Python Pandas jobs in Oregon? The most popular types of Python Pandas jobs in Oregon are:
Senior Data Scientist II - AI for Analytics

Senior Data Scientist II - AI for Analytics

Instacart

OR • Remote

Other

Posted 13 days ago


Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies


Job description

OVERVIEW

Instacart will increase the number of features launched by 2x by the end of 2026 by effectively using AI. A primary driver of knowing which features to launch includes analytical work traditionally performed by data scientists in collaboration with a product team. We are developing systems to accelerate analyses completed by data experts and enable anyone to self-serve most analytics questions.

 

ABOUT THE JOB

You would be responsible for driving AI for Analytics data science work which includes:

  1. Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas.
  2. AI expertise: You will be using and deploying a variety of AI systems in production settings.
  3. Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

The role requires strong XFN collaboration where an ideal candidate can:

  1. Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
  2. Create the product roadmap
  3. Ruthlessly prioritize among requests from multiple competing stakeholders
  4. Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals
 

ABOUT YOU

Minimum Qualifications

  • 6+ years of work experience in a data science or related field
  • Have deeply engaged with AI workflows
  • Expert in Python (pandas), SQL, git, and Jupyter notebooks
  • Strong statistical and analytical skills
  • Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed
 

Preferred Qualifications

  • 8+ years of work experience in a data science or related field
  • Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
  • Significant causal experimentation experience 
  • Built a complex machine learning or statistical model and deployed/supported it in production
  • Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks

#LI-remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012