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Data Science Jobs in Salem, OR (NOW HIRING)

Education Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or related field, or equivalent combination of education and experience. Experience Experience in data ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Required : • Bachelor's degree in computer science, engineering, data science, mathematics, or a related technical field, or equivalent practical experience • Successful candidates typically ...

Data Engineer

Salem, OR · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Serve as a senior technical authority, translating complex physical principles, models, and data ... Minimum of 20 years of experience in research, applied science, or product development (or Ph.D ...

Scientist, Principal

Newberg, OR · On-site

$120 - $160/hr

Serve as a senior technical authority, translating complex physical principles, models, and data ... Minimum of 20 years of experience in research, applied science, or product development (or Ph.D ...

Serve as a senior technical authority, translating complex physical principles, models, and data ... Minimum of 20 years of experience in research, applied science, or product development (or Ph.D ...

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Data Science information

See Salem, OR salary details

$37.8K

$123.8K

$198.1K

How much do data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science in Salem, OR is $123,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,100.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Salem, OR? The most popular types of Data Science jobs in Salem, OR are:
What are popular job titles related to Data Science jobs in Salem, OR? For Data Science jobs in Salem, OR, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Salem, OR look for? The top searched job categories for Data Science jobs in Salem, OR are:
What cities near Salem, OR are hiring for Data Science jobs? Cities near Salem, OR with the most Data Science job openings:
Infographic showing various Data Science job openings in Salem, OR as of August 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Nights. Highlights an 100% In-person job distribution, with an average salary of $123,751 per year, or $59.5 per hour.

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This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Data Scientists
Location: Turner, OR
Employer: 4Consulting, Inc
Position Type: Full Time
Worksite: Onsite

Position Summary

4Consulting, Inc is seeking a qualified Data Scientists to support technology consulting, application development, systems analysis, testing, data management, cybersecurity, infrastructure, or project delivery services for client projects. The selected candidate will perform duties consistent with the client’s project requirements and company delivery standards.

Essential Duties and Responsibilities

The candidate will be responsible for:

  1. Support the implementation and execution of data governance processes, standards, and workflows across the organization.
  2. Coordinate metadata management, data stewardship activities, and documentation to improve data consistency and accessibility.
  3. Monitor data quality metrics and collect governance evidence to support compliance and continuous improvement initiatives.
  4. Collaborate with cross-functional teams to enhance operational data processes and support data governance objectives.
     

Minimum Qualifications

The position requires:

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or related field, or equivalent combination of education and experience.

Experience

Experience in data governance, data analytics, metadata management, and operational data processes within an enterprise environment.

Technical Skills

Data Governance, Data Analytics, Databricks, Tableau, Collibra, SQL, Metadata Management, Data Quality

Business / Domain Skills

Data Stewardship, Data Management, Governance Compliance, Business Process Analysis, SAFe Agile, Cross-functional Collaboration

Communication

Ability to communicate with technical and business stakeholders.

Documentation

Ability to prepare project documentation, status updates, and deliverables.

Work Authorization

Must be legally authorized to work in the United States. Sponsorship may be considered where permitted by company policy and project requirements.

Preferred Qualifications

  1. Experience supporting enterprise data governance and data quality initiatives.
  2. Familiarity with governance, analytics, and reporting tools in a business environment.
  3. Strong analytical, communication, and stakeholder collaboration skills.
     

Equal Employment Opportunity Statement

4Consulting, Inc is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, citizenship status, immigration status where protected by law, or any other legally protected status. All candidates will be evaluated based on job-related qualifications, experience, skills, availability, and ability to perform the essential duties of the position.