1

Python Data Jobs in Oregon (NOW HIRING)

Data Scientist

Beaverton, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

Data Scientist

Beaverton, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

Data Scientist

Beaverton, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data

Data Engineer

Beaverton, OR

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

$200K/yr

The ideal candidate will bring extensive Python expertise, a strong background in modern data engineering, and experience building scalable data platforms that support analytics, reporting, and AI ...

GenAI Python Systems Engineer-Manager

Portland, OR

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

OR · On-site

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Utilize SQL and Python for ETL, data manipulation, analysis, and process automation. * Implement data quality, monitoring, and governance frameworks across the data pipeline. * Ensure data security ...

GenAI Python Systems Engineer -Senior Manager

Portland, OR · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

This Data Scientist will create data models working from mock visualizations and raw data inputs; leverage python, PySpark, Foundry, and code repositories to develop an architecture plan; extract ...

Showing results 21-40

Python Data information

See Oregon salary details

$13

$61

$91

How much do python data jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for python data 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 some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

Which Python data job is in demand?

Data analyst, data scientist, and machine learning engineer roles that utilize Python are currently in high demand due to the growth of data-driven decision making. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow or scikit-learn increase employability in these positions.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, data analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What job categories do people searching Python Data jobs in Oregon look for?

The top searched job categories for Python Data jobs in Oregon are:

What cities in Oregon are hiring for Python Data jobs?

Cities in Oregon with the most Python Data job openings:

Infographic showing various Python Data job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,917 per year, or $62 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview
As our Data Scientist, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.
The impact you'll have at Concora Credit:
As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize underwriting, marketing, and fraud strategies, understand business performance, and identify improvement opportunities. This position offers growth opportunities for someone who is passionate about analyzing business performance, making data-driven decisions, and testing and optimizing strategy.
We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.
Responsibilities
As our Data Scientist, you will:
  • Partner with Credit Risk to build production machine learning models; your models will determine who we lend to and how we interact with existing customers
  • Assess the quality and risk of various model methodologies, algorithms, outputs, and business processes
  • Develop our understanding of new data sources and how they may improve our existing processes and credit decisions
  • Design, develop, and deploy infrastructure for the training, testing, and serving of models at scale
  • Develop benchmark and challenger models to effectively challenge critical modeling decisions
  • Develop explainability and monitoring tools to enable the responsible use of statistical machine learning models and adhere to regulatory guidelines
  • Develop and maintain high quality and transparent model documentation.
  • Communicate your insights and solutions at all levels of the organization through effective presentations and technical reports
  • Leverage multiple tools such as R, Python, and SQL on the Databricks platform to develop cutting edge models. Use latest statistical and coding techniques on structured and un-structured data
  • Identify business challenges and opportunities, using modeling and analytics to deliver strategic or tactical recommendations
  • Expand Concora Credit's capabilities in risk, marketing and operational analytics
  • Partner with leaders to develop an enterprise modeling long term road map across the enterprise. Be focused on execution, and ensure that models are implemented successfully and timely in production
  • As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training opportunities

These duties must be performed with or without reasonable accommodation.
We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.
Qualifications
Requirements:
  • M.S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of industry experience in statistical modeling and analytics, preferably in the Finance industry, or Ph.D in field mentioned above with 1-3 years of relevant experience
  • 2+ years in data science, data analytics, applied machine learning, or related experience in a business setting; ability to convert ideas into testable hypotheses and/or next steps
  • Deep understanding and experience with data analysis, and statistical and machine learning models
  • Strong foundation in machine learning with experience implementing and optimizing machine learning models
  • Knowledgeable in applied statistics (e.g., hypothesis testing, regression techniques, probability, structured and un-structured learning algorithms, time series analytics, forecasting)
  • Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus
  • Strong Programming skills in Python and/or R (Python preferred)
  • Predictive modeling experience with a quantitative background is preferred
  • Experience working with consumer or business lending data is preferred
  • Excellent problem solver, disciplined attention to detail, great communicator
  • Strong ability to work proactively and collaboratively in a cross-functional team to drive results
  • Strong quantitative skills and communication skills - verbal and written

What's In It For You:
  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Employment-based visa sponsorship is not available for this role.
Concora Credit is an equal opportunity employer (EEO).
Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

What Concora Credit employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom