ZipRecruiter

Log In

1

Data Science Jobs in Salem, OR (NOW HIRING)

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$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 ...

Willamette University

Artist Associate

Salem, OR · On-site

$62.43/hr

... in data science and computer science. Willamette University provides a high-value and comprehensive benefits package to eligible employees. Our Benefits Summary includes options for health, dental ...

Willamette University

Artist Associate

Salem, OR

$62.43/hr

... in data science and computer science. Willamette University provides a high-value and comprehensive benefits package to eligible employees. Our Benefits Summary includes options for health, dental ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsData Science Jobs in Salem, OR

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.
More about Data Science jobs
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:
Data Science jobs near you
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.

Data Engineer, Staff

A-dec, Inc.

Newberg, OR • On-site

$120K - $144K/yr

Full-time

Re-posted 5 days ago

A-dec rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

2nd of 51 rated furniture manufacturers

Job description

At A-dec, we do more than create the highest quality products and services for the dental industry; we strive to deliver a superior employment experience for each of our team members. With an environment that encourages and assists each person in developing to their highest potential, a career at A-dec is incredibly rewarding.
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 participates in the determination of technical objectives. Responsible for the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. This role will work closely and collaboratively with members of the Data & Analytics and other development teams to define requirements, mine and analyze data, integrate data from a variety of sources, and deploy high quality data pipelines in support of the analytics needs of A-dec.
JOB DUTIES AND RESPONSIBILITIES:
  • Designs and builds multi-tenant systems capable of loading and transforming large volumes of structured and semi-structured fast-moving data.
  • Works with Program and Project Managers to understand the features, do technical assessment, design, code, test and deliver.
  • Defines and manages SLAs and data quality for datasets and processes.
  • Designs, implements, tests, deploys, and maintains stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications.
  • Independently works on a wide range of complex problems that require new approaches through adaptation and modification of standard data, analytics, and BI principles, theories, techniques, and procedures, providing solutions that are imaginative, thorough, and practical.
  • Develops new and varied solutions to data, analytics, and BI projects and contributes to the value of program solutions by studying industry best practices, seeking to understand and validate internal customer needs, and supporting line of site of program execution to business impacting.
  • Performs one-off data manipulation/munging and analysis on a wide variety organizing data.
  • Implements and monitors best in class security measures in our data warehouse and analytics environment, with an eye towards the evolving threat landscape.
  • Analyzes data, analytics, and BI problems to determine suitable solutions. Establishes and coordinates design reviews with peers and project leads. Responsible for organizing data and preparing documentation for assigned projects.
  • Responsible for thoroughly testing their data, analytics, and BI solutions, coordinating others on data, analytics, and BI verification tests, and testing peer data, analytics, and BI solutions when necessary.
  • Most work examined at a higher level. Actual supervision received may be minimal or moderate depending upon project complexity. Closer supervision given on new aspects of assignments.

QUALIFICATIONS:
Knowledge, Skills, and Abilities
  • Strong command of best practices applied in relational databases and SQL as well as Extract, Transform, and Load (ETL) data into a relational database.
  • Deep understanding Data Warehousing, Date Lakes, Date Pipelines, and Business Intelligence Applications.
  • Ability to interpret moderately complex data, analytics, and BI requirements and apply data, analytics, and BI design methodologies.
  • General data manipulation skills: read in data, process, and clean it, transform, and recode it, merge different data sets together, reformat data between wide and long, etc.
  • Ability to learn new techniques and troubleshoot code without support, in other words, be able to learn on the job.
  • Use APIs to push and pull data from various data systems and platforms.
  • Ability to write clear code that is well-documented and stored in a version control system.
  • Proficient with Python, databases, and SQL expertise.
  • Proven ability to work both independently and collaboratively within a team environment while following established procedures.
  • Excellent listening, interpersonal, communication and problem-solving skills.

Education and Experience
  • At least ten years of relevant data, analytics, and BI engineering experience
  • BS degree in related field or equivalent work experience

Preferred Qualifications
  • Experience with Azure environment
  • Experience developing cloud data warehouses (e.g. Snowflake or Databricks)
  • Experience with lambda and kappa architectures
  • Experience with iPaaS platforms and other no-code/low-code platforms

Disclaimer
This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not to be construed as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. A-dec reserves the right to assign job duties and days and hours of work based on factors such as workload requirements, staffing levels, and customer demands.
At A-dec, we value our people and show it by prioritizing an inclusive culture, total well-being, and opportunities for learning and career advancement.
A background check and screen for the illegal use of drugs is required.
A-dec is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. In addition, A-dec will not discriminate against applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another. *VEVRAA Federal Contractor"
A-dec is interested in qualified candidates authorized to work in the United States for US-based positions. We are unable to sponsor or take over sponsorship of employment visas.

What A-dec employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply