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Data Science Engineer Jobs in Oregon (NOW HIRING)

Senior Data Scientist

OR ยท On-site +1

$140K - $190K/yr

Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business ...

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other ...

Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc...) * Strong knowledge of key programming concepts (e.g. split ...

OR

$372K - $600K/yr

Data Science and Engineering (DSE) at Netflix is aimed at using data, analytics, causal inference, machine learning, and sciences to improve various aspects of our business. The AI initiative at ...

Experience with Databricks notebooks, clusters, and workflows for data science and ML * Working knowledge of PySpark for large-scale data processing and feature engineering * Advanced SQL skills ...

OR ยท On-site

$480K - $750K/yr

The Member Experience Data Science and Engineering team is at the forefront of driving innovations in Netflix's core product experience within our streaming and new business domains through data. The ...

OR

$128K - $166K/yr

Our Games Data Science & Engineering (DSE) teams build the measurement infrastructure, experimentation frameworks, telemetry pipelines, and analytical capabilities that inform decisions across both ...

$149K - $187K/yr

D. in Mathematics, Computer Science, Statistics, or a closely related field * 5+ years of experience as a Data Scientist or Machine Learning Engineer * Proven track record of deriving meaningful ...

Data Scientist - Search

OR ยท On-site +1

We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of ...

OR ยท On-site

Experience with Consulting and/or Customer-facing Data Science roles * Experience in the Manufacture & Defense sector * Experience with Data Engineering or MLOps * Experience developing WebApps in ...

OR

$372K - $600K/yr

Work closely with data science and engineering stakeholders to act as a strategic thought partner and onboard new workflows. Design, build, operate, and maintain mathematics and engineering ...

OR ยท Hybrid

This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world. * Our Data Scientists work in a full lifecycle ...

Data Scientist

OR ยท On-site

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Data Scientist

OR ยท On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

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Showing results 1-20

Data Science Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do data science engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What job categories do people searching Data Science Engineer jobs in Oregon look for? The top searched job categories for Data Science Engineer jobs in Oregon are:
What cities in Oregon are hiring for Data Science Engineer jobs? Cities in Oregon with the most Data Science Engineer job openings:
Infographic showing various Data Science Engineer job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Contractor

Posted 9 hours ago


Job description


Looking for a Data Scientist with focus on research and analysis. Must be able to work with ambiguity of data. This role will be business facing, performing some data flow modeling optimization, coming up with recommendations for increased efficiency for various business groups.
Requirements
Prior data analysis experience, flow modeling experience. Overall 2+ years of experience in Data Science. SQL, scripting, linear programming are required.
Skill Set
Data analysis, SQL, Python, scripting