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Senior Data Scientist Machine Learning Jobs in Oregon

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 ...

New

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

They will be naturally curious about data purity, big data analysis, machine learning, and product ... Advise senior team members to identify data models and algorithms to apply to unique client ...

IMPACT YOU'LL MAKE As a Senior Data Scientist, Marketing Analytics at BECU, you'll serve as a ... While you'll leverage statistical and machine learning models, success in this role is defined by ...

$149K - $187K/yr

OverviewWe are looking for a Data Scientist to join our Product & Technology organization and play ... This role sits at the intersection of advanced analytics, machine learning, and emerging AI ...

OR

$372K - $600K/yr

As a Senior Data Scientist focused on Infrastructure Experimentation, you will join a data org of ... Build and maintain machine learning models that predict the infrastructure cost impact of A/B ...

This individual will be focused on designing, building, and deploying machine learning models and ... For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level ...

Overview The Sr Staff AI Scientist - Generative AI will apply knowledge and experience to real ... using machine learning and Artificial Intelligence techniques. * Develop an exploratory data ...

OR · On-site

The role of a Senior Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the ...

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... learning, data science, or AI engineering Strong programming skills in Python (NumPy, Pandas ...

... in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and ...

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$372K - $600K/yr

... machine learning, ensuring that dynamic storytelling is not only novel but also coherent, immersive, and safe for our players. We are seeking an experienced Senior Data Scientist specialized in AI ...

OR · On-site

Implement and deploy state of the art machine learning algorithms under Gen AI, build prototypes ... You're senior enough to know better and curious enough to keep learning anyway. * Direct in a way ...

OR · On-site

Translate business and data science requirements into scalable technical and MLOps solutions that ... Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic ...

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 ...

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 ...

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Showing results 1-20

Senior Data Scientist Machine Learning information

See Oregon salary details

$100.2K

$136.6K

$160.6K

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

As of Jul 5, 2026, the average yearly pay for senior data scientist machine learning in Oregon is $136,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,192.00 and $151,107.00 per year, depending on experience, location, and employer.

How does a Senior Data Scientist specializing in Machine Learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist in Machine Learning, and why are they important?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What does a Senior Data Scientist specializing in Machine Learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.
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 Senior Data Scientist Machine Learning jobs in Oregon? For Senior Data Scientist Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist Machine Learning jobs in Oregon look for? The top searched job categories for Senior Data Scientist Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Senior Data Scientist Machine Learning jobs? Cities in Oregon with the most Senior Data Scientist Machine Learning job openings:
Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


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.

Employment Type: FULL_TIME