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Data Science Engineer Jobs in Portland, OR (NOW HIRING)

Varsity Tutors

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 ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... Data Science Track Google Certified Professional Data Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science Professional Certificate Mathematics experience ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... Data Science Track Google Certified Professional Data Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science Professional Certificate Mathematics experience ...

Columbia

Principal Data Scientist

Portland, OR · On-site

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 ...

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

nLIGHT

Temporary Data Scientist

Vancouver, WA · On-site

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

nLIGHT

Temporary Data Scientist

Vancouver, WA

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

nLIGHT

Temporary Data Scientist

Vancouver, WA

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

nLIGHT

Temporary Data Scientist

Vancouver, WA

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Portland, OR

Data Science Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data science engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data science engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 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 are popular job titles related to Data Science Engineer jobs in Portland, OR? For Data Science Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Portland, OR look for? The top searched job categories for Data Science Engineer jobs in Portland, OR are:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Portland, OR as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Data Science Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$119K - $143K/yr

Contractor

Posted 23 days ago

Job description


We are looking for a motivated and experienced ML/Software/BigData engineer to join our Advanced Analytics & Machine Learning team. This is a unique opportunity to enhance & upgrade our next generation Data Science Platform that supports a dynamic team of data scientists, data engineers, and data analysts, all working on Demand Sensing related projects.
Qualifications
  • Ability to write robust, maintainable, and extendable code in Python
  • 2 years of BigData/Hadoop experience preferably with Spark
  • 2 year of experience with AWS
  • Experience building Machine Learning/Data Science applications

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