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Data Science Jobs in Yakima, WA (NOW HIRING)

Data Collector

Toppenish, WA · On-site

$22.17/hr

Bachelor's degree in social work, health science, psychology, or an allied social or behavioral science or two years experience in excel data management. Supervisory experience required with ...

Data Analyst

Yakima, WA

$33 - $38.50/hr

Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems, Statistics, Finance, or a related field; equivalent experience may be considered. * 3+ years of ...

APTIM is seeking a motivated and detail-oriented Environmental Science or Engineering Intern to ... The successful candidate will assist with environmental sampling, data collection, operation and ...

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Data Science information

See Yakima, WA salary details

$37.6K

$123K

$197K

How much do data science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data science in Yakima, WA is $123,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 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 Yakima, WA? The most popular types of Data Science jobs in Yakima, WA are:
What are popular job titles related to Data Science jobs in Yakima, WA? For Data Science jobs in Yakima, WA, the most frequently searched job titles are:
What cities near Yakima, WA are hiring for Data Science jobs? Cities near Yakima, WA with the most Data Science job openings:
Infographic showing various Data Science job openings in Yakima, WA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $123,026 per year, or $59.1 per hour.

$22.17/hr

Full-time

Re-posted 19 days ago


Job description

Announcement #
2026-044
Issue Date:
04-17-26
Closing Date:
Open until filled
Data Collector
Tiináwit
Department of Tribal Health
Hourly Wage: $22.17/Regular/Full-Time
The Data Collector will be responsible for project activities and will be responsible for conducting data collection and data entering activities at Yakama Nation Behavior Health Services (YNBHS). This person will need to be prepared to deal with sensitive client information and to create a climate of confidentiality and data integrity.
Examples of Work Performed:
Participant in designing procedures for and overseeing focus groups, survey questionnaires, and clinic data, including troubleshooting data collection problems.
Will hire, train, and supervise data collection support personnel.
Represent the study to potential participants, answer questions, and screen for eligibility. Collect, data enter, and track participant data.
Train other staff in carrying out recruitment, interviewing and data collection activities.
Assist in data cleaning, management, and analysis.
Perform other duties as directed by the Program Director.
Knowledge, Skills and Abilities:
Must have knowledge of Yakama Nation Behavioral Health Services mission, services, and functionality.
Knowledge of HIPAA, 3rd Party Billing, and how it relates to YNBHS.
Knowledge in data collection methodologies.
Skills in organized and detail-oriented decision making.
Excellent organizational and record keeping skills with at least 2 years managing data for social programs.
Computer skills including the use of Microsoft Office applications, and proficient knowledge of Excel.
Ability to handle multiple projects at the same time in the context of a quality improvement program.
Ability to set priorities, set timelines, and accomplish goals on time.
Ability to communicate effectively both orally and in writing.
Ability to work successfully with high-level professionals.
Ability to effectively build relationships with members and other Tribal departments and community partners.
Minimum Requirements:
Bachelor's degree in social work, health science, psychology, or an allied social or behavioral science or two years experience in excel data management.
Supervisory experience required with experience that reflects the ability to work with both Tribal and Non-Tribal providers.
Must uphold strict confidentiality.
Required to pass pre-employment background check.
Must possess a valid Washington State Driver's License with the ability to obtain a Yakama Nation Driving permit.
Required to pass a pre-employment drug test.
Preferred Requirements:
Enrolled Yakama Preference, but all qualified applicants are encouraged to apply.