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Freelance Data Scientist Machine Learning Jobs in Portland, OR

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$18 - $40/hr

... 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 ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

Impact Scale LLC

Data Scientist/Analyst

Vancouver, WA

$90K - $120K/yr

Bachelor's degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science ... Proven experience applying predictive analytics, advanced forecasting, or machine learning ...

SupportFinity™

Data Scientist 4

Tualatin, OR · On-site

$120 - $180/hr

The impact you'll make Lam Research is looking for a Performance Data Scientist in Lam's Global ... Strong expertise in advanced statistics, multivariate modeling, machine learning, and modeling of ...

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All JobsData Scientist Machine Learning JobsFreelance Data Scientist Machine Learning JobsFreelance Data Scientist Machine Learning Jobs in Portland, OR

Freelance Data Scientist Machine Learning information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

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

As of Sep 4, 2026, the average yearly pay for freelance data scientist machine learning in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Data Scientist Machine Learning vs Freelance Data Analyst?

AspectFreelance Data Scientist Machine LearningFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Tools & TechnologiesTensorFlow, scikit-learn, Jupyter, cloud platformsExcel, Tableau, SQL
Work EnvironmentProject-based, consulting, remote or client sitesRemote, freelance consulting, client reports
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Freelance Data Scientist Machine Learning professionals focus on developing predictive models and algorithms using advanced techniques, often requiring programming and statistical expertise. Freelance Data Analysts handle data interpretation, visualization, and reporting, typically with less technical complexity. Both roles are in high demand but differ in skill level, tools, and project scope.

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 are popular job titles related to Freelance Data Scientist Machine Learning jobs in Portland, OR?

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

What job categories do people searching Freelance Data Scientist Machine Learning jobs in Portland, OR look for?

The top searched job categories for Freelance Data Scientist Machine Learning jobs in Portland, OR are:

Freelance Data Scientist Machine Learning jobs near you
Infographic showing various Freelance Data Scientist Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

Manager, Machine Learning Engineering - Ad Platforms

5014 Disney Entertainment & Sports LLC

Beaverton, OR • On-site

$180 - $241/hr

Other

Posted 3 days ago

New

Key responsibilities

  • Oversee end‑to‑end machine learning workflow, including data collection, model development, deployment, and modeling.

  • Lead, mentor, and guide Data Scientists, Machine Learning, and AI engineers to build scalable solutions and improve design practices.

  • Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders.

Job description

Manager, Machine Learning Engineering – Ad Platforms

Job Summary: You will apply your battle‑tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices aligned with close collaboration with the ML team in the US.

Responsibilities:

  • Lead, mentor and guide Data Scientists, Machine Learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection.
  • Lead by example and always strive to improve designs for more scalable, cleaner, and decoupled implementations.
  • Drive adoption of best practices in model development, code quality, testing, and documentation.
  • Ensure solid understanding and usage of automated tools while adhering to company policy.
  • Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders.
  • Oversee end‑to‑end machine learning workflow, including data collection, model development, deployment, and modeling, aligned with the larger platform strategy and tools in collaboration with global teams.
  • Foster innovation by exploring new ML techniques, tools, and technologies.
  • Communicate strategies, progress, and results to leadership and cross‑functional teams.
  • Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards.
  • Develop partnerships across the organization to identify and prioritize high‑impact ML opportunities.
  • Participate in on‑call rotations based on the team’s escalation policy and support schedule for ML/AI solutions.

Basic Qualifications:

  • Bachelor’s or master’s degree in computer science, engineering, mathematics, statistics, or a related field.
  • 8+ years of relevant industry experience, with at least 2–3 years in a people‑management or technical leadership role.
  • Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling.
  • Proven experience designing, building, and deploying scalable machine learning models and systems in production.
  • Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices.
  • Advanced programming proficiency (e.g., Python, Java, or similar) and experience with ML/DL frameworks such as TensorFlow, PyTorch, JAX, or Hugging Face.
  • Experience building, fine‑tuning, evaluating, and deploying LLM‑based systems (e.g., RAG, prompt engineering, model optimization).
  • Demonstrated ability to lead global teams and collaborate across organizational boundaries.

Preferred Qualifications:

  • Domain knowledge in the Ad Tech industry.
  • Experience working with large‑scale data and distributed systems.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps pipelines.
  • Track record of innovation and contributions to the ML/AI community (publications, talks, open source).

Compensation: Hiring range for this position in Los Angeles, CA area is $171,600 – $230,100 per year and Seattle Area is $179,700 – $241,000. Base pay will be determined based on internal equity, geographic region, job‑related knowledge, skills, and experience. A bonus and/or long‑term incentive units may be offered as part of the compensation package, plus a full range of medical, financial, and other benefits.

Location: Seattle, WA, USA

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