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Data Science Jobs in Seattle, WA (NOW HIRING)

Staffingine LLC

Data Scientist

Redmond, WA · On-site

Required Skills: * 5+ years of experience in Data Science * Strong Python (Pandas, NumPy, Scikit-learn) * Good SQL skills * Experience in Machine Learning & Statistical Modeling * Experience with ...

ZS

Advanced Data Science Consultant

Bellevue, WA · On-site

$175K - $195K/yr

As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured ...

Tensec

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

Salary Exempt Job Summary We are currently building out a Marketplace Health and Pricing teams and as part of it building a Data Science practice, with the goal of better leveraging advanced analytic ...

New

PACCAR Inc

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Master's in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

11105 Expedia, Inc.

Data Scientist

Seattle, WA · On-site

Partners with Machine Learning / Data Science and measurement teams to validate and scale models for maximum business value. Sets the standard for interpreting model output correctly, iterating, and ...

11105 Expedia, Inc.

Data Scientist

Seattle, WA · On-site

Partners with Machine Learning / Data Science and measurement teams to validate and scale models for maximum business value. Sets the standard for interpreting model output correctly, iterating, and ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Seattle, WA

Data Science information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 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 Seattle, WA? The most popular types of Data Science jobs in Seattle, WA are:
What are popular job titles related to Data Science jobs in Seattle, WA? For Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Seattle, WA look for? The top searched job categories for Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Science jobs? Cities near Seattle, WA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Data Scientist

Staffingine LLC

Redmond, WA • On-site

Contractor

Re-posted 7 days ago

Job description

Job Title: Data Scientist

Location: Redmond, WA (Onsite)
Interview: 2 Rounds (2nd Round Face-to-Face)
Local Candidates Only

Rate: Open

Job Summary:

We are looking for a Data Scientist with strong experience in Python, SQL, and Machine Learning. The candidate should be comfortable working with large datasets, building predictive models, and generating business insights. This is a fully onsite role in Redmond, WA.

Required Skills:

  • 5+ years of experience in Data Science
  • Strong Python (Pandas, NumPy, Scikit-learn)
  • Good SQL skills
  • Experience in Machine Learning & Statistical Modeling
  • Experience with Cloud (Azure/AWS/GCP)
  • Data visualization experience (Power BI/Tableau preferred)

Preferred:

  • NLP or Deep Learning
  • MLOps knowledge