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Data Scientist Machine Learning Jobs in Oregon (NOW HIRING)

Senior Applied Machine Learning Scientist

OR · On-site +1

$91.40K - $124.90K/yr

Bachelor's degree or Advanced degree (Master's or PhD) in Computer Science, Data Science, or a ... applied machine learning or AI science Preferred Qualifications * Experience designing ...

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

$466K - $750K/yr

The Ad Ranking team within the Ads Data Science and Engineering organization is the central ... Design and implement machine learning and optimization algorithms to improve ad quality and ...

OR

$466K - $750K/yr

The Ad Ranking team within the Ads Data Science and Engineering organization is the central ... Design and implement machine learning and optimization algorithms to improve ad quality and ...

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role ... Translate business and data science requirements into scalable, secure, and resilient architectures ...

OR

$372K - $600K/yr

Build and maintain machine learning models that predict the infrastructure cost impact of A/B ... who views data science outputs as products, taking an end-to-end ownership mindset from data ...

OR

$372K - $600K/yr

Build and maintain machine learning models that predict the infrastructure cost impact of A/B ... who views data science outputs as products, taking an end-to-end ownership mindset from data ...

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to ... Expertise building predictive models using regression and machine learning techniques * Ability to ...

OR · On-site

$113K - $188K/yr

Data Science Consulting Travel Required: None Clearance Required: Active Public Trust What You Will ... Experience performing statistical modeling, predictive analytics, or machine learning using Python ...

Collaborate with other data scientists, machine learning engineers, data engineers, and business partners * Champion best practices and tooling across a broad data science community * Lead cross ...

... 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 ...

Machine Learning Tutor

OR · Remote

$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 ...

... 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 ...

OR · On-site

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels ... Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision ...

A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of health ... using machine learning and Artificial Intelligence techniques. * Develop an exploratory data ...

... machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.\ * Experience building production-grade machine learning deployments on AWS, Azure ...

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Showing results 1-20

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 May 29, 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 job?

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 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 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 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 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,770 per year, or $62.4 per hour.
Senior Data Scientist II - AI for Analytics

Senior Data Scientist II - AI for Analytics

Instacart

Remote

Other

Posted 23 days ago


Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

OVERVIEW

Instacart will increase the number of features launched by 2x by the end of 2026 by effectively using AI. A primary driver of knowing which features to launch includes analytical work traditionally performed by data scientists in collaboration with a product team. We are developing systems to accelerate analyses completed by data experts and enable anyone to self-serve most analytics questions.

 

ABOUT THE JOB

You would be responsible for driving AI for Analytics data science work which includes:

  1. Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas.
  2. AI expertise: You will be using and deploying a variety of AI systems in production settings.
  3. Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

The role requires strong XFN collaboration where an ideal candidate can:

  1. Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
  2. Create the product roadmap
  3. Ruthlessly prioritize among requests from multiple competing stakeholders
  4. Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals
 

ABOUT YOU

Minimum Qualifications

  • 6+ years of work experience in a data science or related field
  • Have deeply engaged with AI workflows
  • Expert in Python (pandas), SQL, git, and Jupyter notebooks
  • Strong statistical and analytical skills
  • Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed
 

Preferred Qualifications

  • 8+ years of work experience in a data science or related field
  • Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
  • Significant causal experimentation experience 
  • Built a complex machine learning or statistical model and deployed/supported it in production
  • Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks

#LI-remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012