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Data Scientist Machine Learning Jobs in Oregon (NOW HIRING)

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global ...

The Data Scientist will be expected to support Hoffman's project teams and relocation may be ... Build and evaluate basic predictive models using machine learning algorithms. Create visualizations ...

Data Scientist 1

Lake Oswego, OR · On-site

$90K - $110K/yr

The Data Scientist will be expected to support Hoffman's project teams and relocation may be ... Build and evaluate basic predictive models using machine learning algorithms. * Create ...

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel ...

Data Scientist

OR · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel ...

This is an exciting opportunity to apply machine learning, data science, and cheminformatics expertise to solve complex R&D challenges and influence how scientific decisions are made across a global ...

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Data Scientist Machine Learning information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do data scientist machine learning jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data scientist machine learning in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Oregon?

The most popular types of Data Scientist Machine Learning jobs in Oregon are:

What are popular job titles related to Data Scientist Machine Learning jobs in Oregon?

For Data Scientist Machine Learning jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Oregon look for?

The top searched job categories for Data Scientist Machine Learning jobs in Oregon are:

What cities in Oregon are hiring for Data Scientist Machine Learning jobs?

Cities in Oregon with the most Data Scientist Machine Learning job openings:

Infographic showing various Data Scientist Machine Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.
Concora Credit Inc.
Finance and Insurance • 501 - 1,000 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Key responsibilities

  • Partner with Credit Risk to build production machine learning models for lending decisions and customer interactions

  • Assess the quality, risk, and effectiveness of various modeling methodologies, algorithms, and business processes

  • Design, develop, and deploy infrastructure for training, testing, and serving models at scale


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 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.

Employment Type: FULL_TIME

What Concora Credit employees say

Pay

Hours and flexibility

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