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Senior Data Scientist Machine Learning Jobs in Portland, OR

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ...

Responsibilities - Leading the design and development of AI and Machine Learning solutions to ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Sr. Machine Learning Engineer

Hillsboro, OR

$113K - $156K/yr

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Develop, test, and apply statistical models, analytical methods, and machine learning techniques to ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

Showing results 21-40

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:

Principal Data Scientist

Columbia Sportswear

Portland, OR • On-site

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Columbia Sportswear rating

7.0

Company rating: 7.0 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

18th of 104 rated fashion retailers


Job description

This position is designated as a hybrid role based out of our headquarters near Portland, Oregon. The current expectation is for employees to work onsite four days per week, subject to change based on business needs. This in-office requirement may be adjusted at the discretion of the company.

OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.

At Columbia, we're as passionate about the outdoors as you are. And while our gear is available worldwide, we're proud to be based in the Pacific Northwest, where natural wonders are our playground.

Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: "It's perfect. Now make it better." As pioneers of relentless improvement, we are constantly evolving.

We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.

And we believe in you.

ABOUT THE POSITION

Although we're an apparel and footwear-focused company, technology is central to everything we do. Columbia Sportswear's Digital Technology (CDT) group enables an IT infrastructure and applications across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the delivery of innovative analytical solutions to help answer the organization's pressing challenges and opportunities. This role will focus on developing end-to-end solutions, from prototyping to production-ready complex algorithms. The candidate will utilize advanced analytics to solve complex business problems and integrate findings into business processes. This role will have opportunities to engage across the organization with an area of focus in Direct-to-Consumer needs.

HOW YOU'LL MAKE A DIFFERENCE

  • Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business
  • Collaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analytics
  • Conduct exploratory data analyses and data mining to understand underlying patterns, trends and behavior to highlight opportunities through data to significantly improve business performance across brands, regions, and channels
  • Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities according to industry standards
  • Under minimal supervision, establish and execute plans to build, implement and maintain predictive models using available tools and programming languages. Manage full life cycle of projects
  • Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows
  • Translate analytical findings and statistical models into measures of business impact and actionable recommendations
  • Drive best practices in applying and deploying Data Science at scale

YOU ARE

  • Aptitude to synthesize and create a cohesive picture from a wide variety of information sources
  • Solid time-management skills and able to work on multiple tasks or projects concurrently
  • Extremely organized, detail-oriented, resourceful and flexible
  • Strong interpersonal, written, communication and relationship-building skills
  • Able to work and collaborate with cross functional teams, including IT, and manage partner expectations
  • A strong communicator that can demonstrate an ability to work with all ranges of an organization to advance Columbia's Data Science practice.

YOU HAVE

  • Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferred
  • Minimum 3 years of experience as a Data Scientist, Statistician or related position
  • Hands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured data
  • Demonstrated capability in rapid prototyping and developing end-to-end solutions using complex algorithms
  • Broad understanding of core statistical and ML techniques
  • Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS
  • Proficient in the use of visualization tools, Power BI preferred
  • Experience with Microsoft Stack preferred

#LI-JD1

This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.

Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf. If you need reasonable accommodation because of a disability for any part of the employment process, please notify your recruiter. At Columbia Sportswear Company, we're proud to offer regular full-time employees a benefits package that includes a variety of services and products to help make your life and work more rewarding. Our benefit programs contribute to overall employee well-being by aligning those programs with the fundamental elements of well-being: physical, social/emotional, financial, career and community. Benefits that can protect your family's financial future and help you save money through our 401k plan plus a generous company match. Columbia offers medical, dental, vision, life Insurance, disability, flexible spending accounts, health savings account, and an assortment of voluntary benefit offerings (accident, critical illness, hospital indemnity, and legal services). In addition, Columbia offers EAP + which is free and confidential 24/7/365 counseling services. We have extensive wellness benefits, employee discounts and a generous time off program available. If you need an accommodation/adjustment to successfully complete and submit your application, please reach out to AskHR@columbia.com with the Subject: Applicant Assistance Requested.

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About Columbia Sportswear

Sourced by ZipRecruiter

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

Industry

Apparel and accessories stores

Company size

5,001 - 10,000 Employees

Headquarters location

Portland, OR, US

Year founded

1938

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