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Senior Data Scientist Machine Learning Jobs in Portland, OR

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do ... Collaborate with analysts, data scientists, and business stakeholders in Risk, Operations and ...

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... You possess a strong foundation in traditional predictive machine learning (e.g., classification ...

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... Career growth and learning opportunities through mentoring and internal mobility * Inclusive ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Showing results 41-60

Senior Data Scientist Machine Learning information

See Portland, OR salary details

$44K

$151.1K

$213.2K

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

As of Aug 12, 2026, the average yearly pay for senior data scientist machine learning in Portland, OR is $151,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $176,600.00 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?

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 Portland, OR? The most popular types of Data Scientist Machine Learning jobs in Portland, OR are:
What cities near Portland, OR are hiring for Senior Data Scientist Machine Learning jobs? Cities near Portland, OR with the most Senior Data Scientist Machine Learning job openings:

Sr. Data Operations Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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 Sr. Data Operations Engineer, 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 Sr. Data Operations Engineer, you ensure the reliability, stability, and operational excellence of Enterprise Data and ML/AI platforms. You'll be responsible for supporting end-to-end Data Operations, including ETL/ELT pipelines, reporting and dashboarding workloads, advanced analytics and machine learning workflows, ensuring they run consistently and efficiently across Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers to deliver accurate, timely datasets and reports that align with business needs. You'll also provide operational support for Fivetran, MOVEit Automation, GoAnywhere, and enterprise file movement processes.
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 Sr. Data Operations Engineer, you will:
  • Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services, ensuring SLA compliance and the timely resolution of Incidents, failures, and performance bottlenecks.
  • Proactively monitor platform health, performance, and SLAs using Databricks monitoring, logging, and alerting, to minimize downtime and data issues.
  • Perform root cause analysis and implement long-term fixes that prevent recurring issues and improve overall operational reliability.
  • Contribute to platform automation, CI/CD for data/ML pipelines, infrastructure as code, and disaster recovery planning.
  • Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement improvements, automate operations, and drive continuous enhancement of data/ML platform reliability.
  • Provide operational support for MOVEit Automation, GoAnywhere, and secure file transfer processes.
  • Operate and support Fivetran for data ingestion, ensuring connector health, sync reliability.
  • Manage Tokenization processes to ensure secure handling of sensitive data, including tokenization, detokenization, and compliance with PCI.
  • Audit PCI controls regularly to maintain compliance.
  • Develop and maintain code enhancements, automation scripts that support both data engineering and operational needs.
  • Provide after-hours support for critical systems and applications.
  • Develop and maintain documentation, runbooks, and operational standards.

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:
  • 5-7 years of experience in Data Operations, ML Operations, or Data Engineering roles.
  • Extensive hands-on experience with Azure Databricks with Unity Catalog, ADF, ADLS
  • Strong experience in SQL, Python, and PySpark
  • Experience working in regulated environments (Finance etc.)
  • Familiarity with secure file transfer tools.
  • Experience with monitoring tools (Azure Monitor, Log Analytics, etc.)
  • Solid understanding of data warehousing, ETL/ELT, and data modeling best practices.
  • Experience with version control and CI/CD pipelines (Azure DevOps, GitHub, etc.)
  • Knowledge of RBAC, data security, and governance in cloud environments.
  • Knowledge of Spark performance tuning, partitioning, and job orchestration.
  • Bachelor's or Master's degree (or equivalent) in Computer Science or related field.

Soft Skills:
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to work independently in a fast-paced, agile environment.
  • Passion for delivering clean, high-quality, and maintainable code.

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.

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