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Data Science Engineer Jobs in Oregon (NOW HIRING)

OR · On-site

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...

Data Engineering & Curation * Expertise in large-scale data collection, labeling, cleaning, and ... Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ...

Data Science Tutor

Eugene, 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 ...

Data Science Tutor

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 ...

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 ...

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 ...

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 ...

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; Master's degree preferred. * 7+ years of experience in data science ...

TCF interaction, a central node in the Wnt/-catenin pathway that has eluded drug developers for ... The VP, Development Data Science will build and lead a cross functional data centric matrix to ...

OR · On-site

Make architectural trade-offs, drive alignment across data science, engineering, product, and clinical stakeholders, and mentor junior data scientists to raise the technical bar of the team. Minimum ...

OR · On-site

... our data science function. You'll lead end-to-end growth initiatives-from acquisition and ... Reporting to the VP of Engineering, you'll operate as a true division leader-building systems ...

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

You'll learn about data engineering pipelines, big data and marketing data sets and apply your understanding of data science and machine learning concepts. You will be our client's hero, achieving ...

Point C is seeking an AI Data Science Intern to join our Operations team this summer/fall. You'll ... Collaborate with the AI & Automation Engineering team on solutions requiring API integrations or ...

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

OR · On-site

Collaborate closely with engineering, analytics, AI, and product teams to align data science models and insights with broader business goals * Communicate findings and model results clearly to non ...

OR · On-site

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our ...

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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.

$119K - $143K/yr

Contractor

Posted 25 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